Elastic QA; what is it, and why do you need it?

In this digital era, software solutions and applications are becoming an essential part of everyday products and services. Due to the high level of competitiveness in the market, customer experience has become the prime importance for businesses. To improve the effectiveness of this process, quality assurance (QA) of the product is incorporated to the Continuous Integration/ Continuous Delivery (CI/CD) pipeline, known as QAOps. It demands the QA team to work closely with the software operations team and the development team.

Currently, 1.96 million applications are available on the Apple store, whereas 2.87 million applications are available on the Google Play store worldwide. The key to delivering an exceptional customer experience is quality. A rapidly evolving technology makes existing technologies outdated in a short time. To match the speed of technology and faster delivery of software, quality is often degraded. The poor quality leads to poor customer experience and losing one-third of software application users and reduces revenue. To maintain software release velocity while sustaining the quality, there is a need to upgrade the QA resources.

A contract-based QA testing resource hiring takes time as well as money, which are crucial in the software release cycle. Instead, this time can be reinvested into the business by introducing software test automation in QA testing resources. A partial or complete automated approach to QA testing resources still needs the human touch to ensure it resonates with people. Ultimately, people are going to use it and it should be optimized to enhance their user experience.

The quality and speed are critical components of the software release cycle and delivering a delightful experience to customers. A trending solution to achieve this is the Elastic QA that offers flexibility to QA testing.

What is Elastic QA?

An innovative approach to software QA testing is software testing automation. It is a volume-based model that provides elasticity (flexibility) to QA.

The world of QA is dynamic and is not one size fits all business areas. Some companies may have a huge in-house QA resource team, whereas others may have only a handful or no team to lean on for the software testing cycle. Additionally, the software release cycle may vary with the demand and requirements. Moreover, some companies keep releasing new updates or versions of their application weekly or monthly, while others may release new updates once in two-three months. Accordingly, the QA testing resource requirements vary while battling with the speed and quality of software release. The value in prioritizing quality is another vital component that should be on the priority list while carrying out QA tests.

Elastic QA is the solution to sort out the battle between speed, quality and value. It gives the blended approach to software testing by combining humans with technology. Elastic QA helps in delivering quality at speed and sees the real value! Elastic QA helps in flexing up and down the testing requirements and aligning with the QA team demands by leveraging third-party QA resources. Additionally, it helps in cycling the software releases. Thus, Elastic QA helps in alleviating the QA resource pressures and modern-day engineering unpredictability.

Need for Elastic QA

With many innovative and novel ideas and approaches in the software release cycle and QA testing, the question remains constant: Why should one adopt Elastic QA in the software QA testing and release cycle? Let’s see the primary reasons supporting the adoption of Elastic QA in QA testing resources.

Elastic QA ensures the cohesive software release cycle across various versions and updates, whether the Apple Store or Google Play Store and different versions of gadgets like smartphones, personal computers, tablets, or laptops. Complete coverage of different devices and an extensive network of QA testers help in faster software testing. Multiple testers work to identify the bugs and troubleshoot them, increasing the speed of testing and software through the eyes of several testers, ensuring quality.

The internal QA resource goes through a proper documentation channel that takes time to prepare the testing report. A faster response through the Elastic QA approach reduces the hiring needs of in-house QA resources saving time as well as money.

Elastic QA delivers real value to the business by allowing testers to focus on other business areas by automating the software QA testing. It ultimately secures the budget and allows other QA resources to meet their critical deadlines. 

Conclusively, Elastic QA does crowd-testing, saving time and money, while ensuring performance and security. It stretches internal resources and communicates workload balance to prevent bugs from falling through the cracks. A global network of QA testers ensures the software works absolutely fine in the local environment, allowing the release of the perfect version of the software working worldwide.

Why Yethi is your perfect QA partner?

As the software development trend is continuously growing, the testing trends are also evolving to address the new quality challenges. Yethi is here to help. We are a niche QA service provider for global banks and financial institutions, having helped more than 80 clients in 18+ countries. We are market leaders in offering QA services to banking/financial software working across multiple devices and networks. Our test automation platform, Tenjin, is a 6th generation robotic platform that has a simplistic plug and play design. It can offer high test coverage with end-to-end testing approach, and capable of testing even the complex software system with utmost ease. It removes delays and redundancies to ensure the system works at its best and offers a seamless experience to end-users. It offers greater flexibility for quicker deployment and can easily adapts to the changes in the underlying application without the need for scripting or recording.

What Is Migration Testing: How to Efficiently Conduct Testing While Migrating Data?

Technology is ever-evolving with new advancements making its presence every day. Organizations are constantly updating their legacy systems to the new ones to take advantage of these developments and align with the constantly changing end-user preferences. However, the major challenge lies in migrating to the new system without losing data. Data owned by organizations is an asset that provides critical insights to plan future endeavors, hence, organizations cannot afford to lose them.

Though data migration is a tedious process that requires enormous effort and time, it is a significant process that plays a crucial role in application redesign. Data migration cannot yield favorable results without a thorough testing process in place. Migration testing ensures that data integrity is maintained while upgrading, integrating, or transferring the system, while making data migration a success that affects your business positively.

Migration testing ensures the data migration has not resulted in any disruption and all functional and non-functional aspects of applications are retained even after migration. It is extremely important to undertake Data Migration Testing to find out the discrepancies that arise while migrating the data from the parent or legacy database to the new or destination database. Organizations must efficiently conduct testing while migrating data for smooth operations.

The need for migration testing

Testing of the system is critical even when the slightest change is made, to ensure the incorporated change doesn’t create any conflict in the current workflow or make any further unnecessary modifications. Hence, it becomes important to carry out end-to-end testing during the system migration process. Migration testing is essential as it:

  • Ensures continuity and consistency after the platform migration – imagine if your mortgage computation changed because the lender changed systems?
  • Ensures no data loss when you move to the new platform – imagine if your broker could no longer locate your retirement account after her company upgraded their systems?
  • It identifies any defects in the new application and ensures that it works perfectly without any issue.
  • When migrating from one system to another, migration testing ensures proper flow and working of the application, as it was before migration.
  • In addition to testing data retention and functionality checks, migration testing also checks if the application is optimized to the new workflows and environment.

Data Migration Testing Approach

Organizations should incorporate the following strategic approach for data migration testing for best results:

  • Form a specialized team for data migration testing: It is of paramount importance to have a team that possesses the required skill set and experience to carry out data migration testing.
  • Risk and Error Analysis: It is essential to ensure that data migration testing should be smooth and does not disrupt the current business. Data migration testing should focus on high-risk scenarios to validate and mitigate risks.
  • Scope of Migration Testing: Organizations should decide the scope of data migration testing- what is to be tested.
  • Select the Data Migration Testing Tool: An appropriate Data migration Testing Tool should be selected to achieve minimum discrepancies and anomalies.
  • Identify the Test Environment: The test environment should be set up according to the technical aspects of the source and target data system.
  • Migration Test Document: In the end, it is important to prepare a migration test document that states the testing tool, testing methods, schedule of testing, etc.

Data migration testing has assumed a lot of significance in the current scenario, where the availability of the right data at the right time governs the success of any organization. Organizations are investing a huge amount of resources in migration testing to avoid any mishaps later on. Efficient and effective data migration testing combines a systematic approach, prescient risk minimization techniques, and holistic test coverage.

Understanding data migration testing

Efficient data migration testing includes the following two levels of validation testing:

  • Data Level Validation Testing
  • Application-Level Validation Testing

Data Level Validation Testing

When data is moved from several databases to one common database, data level validation testing is done to ensure that there are no discrepancies. It ensures that the complete data is migrated to the new system and no loss was incurred during the migration process. Data Level Validation Testing can be further classified as follows:

Level 1: Counting the number of rows

In his stage, we find out the total number of records that would be moved or migrated.

Level 2: Verification of data

A sample is selected from the migrated data and checked thoroughly to verify the accuracy of the data.

Level 3: Verification of Entitlement

At this stage, the new database is verified for the users as well as samples of data.

Application-Level Validation Testing

Application-Level Validation Testing checks whether the migrated applications function efficiently in the new database or not; a sample application, that was migrated, is tested for its functionality. Following validations are carried out:

  • Verification of sample data by logging into the new application after migration
  • Verification of the status of accounts- whether it is locked or unlocked by logging into the legacy system post-migration
  • Verification of access to legacy systems during migration despite user blockage
  • Verification of instant restoration of user access to the old system in case of failure of migration
  • Verification of denial of access to legacy systems at the time of migration
  • Validation of login credentials for migrated applications

Data Migration Testing Tools

Data Migration Testing Tools can be classified into three categories as follows:

  • On-premise Tools
  • Open-Source Tools
  • Cloud-based Tools

On-premise Tools: When organizations want to transfer data from one server to another or from one database to another within the enterprise, they use on-premise data migration testing tools. In this scenario, it just involves changing the database or integrating databases.

Open-Source Tools: Open-source data migration tools are easily accessible by people. They are free to use. Organizations can use these data migration testing tools if the project is small and the data to be tested is less. Knowledge of coding skills is required if you use open-source tools.

Cloud-based Tools: Cloud-based data migration tools are the latest developments in data migration and testing. These tools enable the organizations to transfer the data to Cloud, which is the need of the hour. Hence, Cloud-based data migration tools are widely used as they are secure, flexible, and cost-effective.

Yethi’s data migration testing

Yethi is a well-known name in the BFSI industry for offering specialized QA services. We understand the importance of testing during data migration process, hence, we assure seamless data migration testing under budget and time constraints. At Yethi, we have the experience and expertise to handle testing of different scales and complexities of the data migration process. With our extensive technical and functional audits, you can be assured of having a perfectly working system, even after the migration process.

Digital acceleration and strategy for banking sector

The operational strategy of banks has changed over the last few years and will continue to see further changes due to technological evolution. This scenario is due to the increasing economic pressure, updating regulations, changing customer preferences, increasing pressure from the fintechs, and the introduction of digitization. Among all these, digital technologies are widely preferred and adopted by the end-users; hence, banks are investing to accelerate digital evolution as a part of their growth strategy.

The digital revolution has made the traditional banking systems too slow for consumer preferences, thereby goading banks into transforming their processes as a whole. From simple fund transfer to complex credit completion procedures, all banking processes are moving to digital platforms to offer a seamless customer experience. Hence, digital acceleration has led the banks to rethink their existing strategy and implement digitization across all their processes.

The digital revolution in the banking/financial sector will not slow down anytime soon. Banks have to adapt to this new trend by leveraging innovative opportunities to sustain and grow. Choosing the right strategy and reinventing the process depends on the transformation goals and the current infrastructure, workforce skills, and budget.

Traditional banking transformation on digital platforms

Today’s digital landscape has considerably changed the way customers interact with the bank. They have made it easy to handle any complex financial processes while offering speed and convenience. This was not always true; the banks were using conventional processes before finally adapting to digital technology.

Digital initiatives have led banks to reconsider their capabilities and create seamless customer engagement. Furthermore, with the onset of the COVID-19 pandemic, the digital transformation has geared up with an incredible speed and many evolutionary changes are expected in the near future.

Here is a list of popular banking processes that transformed from conventional methods to advanced digital systems.

Transactions: Traditionally, transactions were made through cash, either in person or by deposits or withdrawals at the physical bank branches. This was true even at the commencement of the new millennium with cash being the primary mode of transactions. But the transactions trends have undergone a drastic transformation in the last decade. Digitization has changed the way we send or receive money.

The digital trend started with ATMs, online banking, and mobile banking, which further got easy and effortless with the introduction of UPI payments. The involvement of FinTechs in the modern banking system has revolutionized transactions in today’s times. Banks and other financial institutions are moving towards digitization for payment cycle management, ease customer transaction systems, maintain customer payment records, calculate auto cost sheets, and generate automatic payment reminders.

Sales pipeline: The traditional sales pipelines have limited scope for sales and marketing campaigns, which had a major impact on the ROI. However, digital sales engines leverage modern technology, personalized communication, and integrated AI, to maximize sales conversions through effective digital channels.

Physical branches: Before the digital revolution entered the banking sector, going to banks was an obligation. Even a simple money transfer and withdrawal demanded the individual to be present at the bank for further processing. Physical branches didn’t provide the ease of banking-on-the-go facility, thereby, making it tedious. Digital banking, otherwise, offers effortless banking from anywhere and anytime.

Credit proposal, built-up, and approval: The credit analysis process was, previously, a tedious one. The credit evaluation and approval for an individual or a business had to physically under an elaborate process of lending assessment, interest rate calculation, and the time duration for the loan to be paid off. The conventional way of evaluating and approving credit was tiresome, time-consuming, and prone to errors.

The credit analysis process has witnessed a rapid evolution due to the growing digitization. The complete process of credit proposal, built-up, and approval is carried out on digital platforms where the initiation, assessment, interest calculation, and approval are all done on a real-time basis. Here, the process is efficiently carried out with almost 100% accuracy and consistency within no time. Such digital processes are carried out by powerful software development teams, backed by strong test automation solutions.

Loan closure: Loan closing is an important banking/ financial process where the EMIs paid over the loan period are checked and ensured the customer had repaid the entire amount with the stipulated interest. The conventional loan closing requires the client to visit the physical branch to submit his credit statement and receive a No Objection Certificate (NOC) from the bank as proof of loan closure. With the digital wave taking the banking sector on its side, the modern loan closure often involves updating the details in real-time and issuing a digital NOC.

Compliance: With the digital systems making a strong presence in the banking sector, there are many emerging risks such as money laundering risks, phishing emails, risks due to malicious software, and a lot more. To mitigate these risks, digital banking systems are governed by compliance regulations. The banking compliance regulations have completely transformed ever since the digital systems replaced the conventional ones.

The banking sector has undergone immense changes in the past few years with the non-banking Fintechs entering the market. New technologies are taking over the old ones, and digital banking is replacing the physical branches. These factors have led banks to rethink their strategies to keep up with the changing trends and offer a seamless customer experience.

Digital strategy for reshaping the banking system

Digital banking transformation is the need of the time; with all major industries embracing digitization, the banking sector can be no behind. In addition to improving banking systems and offering unmatched customer service, digital transformation in banks contribute directly to the economy.

Digitization has led banks to face greater competition, like the one offering convenience, accuracy, consistency, performance, and security will only survive in the market, while the others may fade away slowly. The speed of adoption of digital technologies and the system quality will define the success; that’s why banks are creating new digital strategies to embrace the changing trend.

Digital strategies considered by banks

Considering new business models: With the increasing emphasize on digitization, banks are actively creating new plans to redefine their traditional business models. The older operating models will not fit in the current digital scenario; hence, banks and other financial companies are working on creating strong digital models to ensure a smooth and effortlessly working system.

Strong development and testing teams: The success of any digital process lies in the hands of the engineers to build a flawlessly working system. The same is applicable for digital banking too. The modern banking systems work on the concept of continuous integration/ continuous delivery, where the software development, testing, and delivery takes place hand-in-hand. With further technological advancement, banks are preferring to use test automation solutions instead of manual software testing.

Data analytics: Banks leverage the power of data to understand customer preferences and behavior. Such data analysis process helps banks to define new business opportunities, this may include a new service, expanding to a new geography, or even changing the business strategy.

Data analytics is a great marketing tool to analyze the market and use the data to ensure optimal performance. This can be used to analyze functional parts like risk, fraud, compliance, etc. Data analytics is important for any business to have a check on the exiting strategy and restructure according to requirements of the new trends.

Improving the consumer journey: Gone are the days when customers had to stand in never-ending bank queues to make a deposit or perform a withdrawal. All transactions, whether regional or international, are done with just a few clicks. Digital platforms offer great user convenience by offering the ease of performing the transaction through any digital device. Even complex banking processes like credit origination, FD or RD initiation, or fund advisory services can be easily done digitally, without having to visit the bank.

Embrace innovation: Innovation is the key to success in today’s technology-driven world. Therefore, banks and other financial institutions are making significant investments to harness technology and redesign the business landscape, not just for the better but the best. Innovations open new opportunities to create value, progress, and flourish.

Banks are incorporating innovative systems to improve the existing process and customer experience. The transformation not just redefines the business model, but also empowers individuals associated with the organization who will be exposed to new opportunities for upskilling and reskilling.

Mobile banking: As a part of modern digital strategy, banks are slowly moving towards mobile apps, leaving behind the traditional bank delivery or online application services. This move came after the mobile revolution that has led everyone to have a mobile device. By incorporating mobile banking, banks are offering ease of payments on the go. Such services are gaining popularity due to the ease they offer.

Furthermore, banks are collaborating with Fintech companies to come up with more advanced solutions. This enables users to instantly send or receive money, make payments, start the loan process, pay credit card bills, shop online, pay at a vendor by scanning QR codes, and a lot more. The future scope of mobile banking is bright which might replace the other means of banking.

Cloud computing: With the growth of the banking/financial sector at the technological front, there is a gradual transition from on-premises services to Cloud-based ones. Banking systems are moving on Cloud for increased agility, uninterrupted resilience, reduced risk, and excellent performance. The different Cloud models available are:

  • Business process-as-a-service (BPaaS): This is suitable for a standard business process like billing, payrolls, etc.
  • Software-as-a-Service (SaaS): Here, the user can access the software and data through a web browser. This type of service includes accounting, invoicing, customer relationship management, etc.
  • Platform-as-a-Service (PaaS): Cloud is used to streamline the entire business process platform for application development, interface, database creation, testing, and storage.
  • Infrastructure-as-a-Service (IaaS): Cloud can be outsourced as an infrastructural service by avoiding the cost of purchasing servers, network equipment, data centers, and software.

Cloud, therefore, helps banks to improve performance by ensuring business continuity, cost saving, and improved business agility.

Internet of things (IoT): IoT technology has greater growth potential in the banking/financial sector. It will change the way we bank, invest, and manage & monitor assets. With incorporating financial IoT, banks have access to more data available allowing them to gather insights on predictive analysis on market, thereby, helping them to take immediate measures to solve any issue.

Digital technology will reorganize the banking/financial industry with new technologies and business opportunities to strengthen the core system and create positive outcomes.

The changing role of software testing with increasing digitization, how Yethi can help?

Traditional banking is obsolete! We have stepped into a new year of the new decade which has seen technology grow like never before. The rapidly evolving technological advancement has changed the course of banking systems, both at infrastructural and operational levels. Digital processes have replaced the previously tedious manual processes that has led banks and financial companies make huge investments in software development.

As the software development continuous to grow, the need for a strong testing process also increases. The role of software testing has moved beyond being a mere support team, to acting as an essential, independent team. This change is required to ensure that the developed software is free from any errors or discrepancies; failing which, it can negatively impact the customer experience, brand value, and ROI metrics.

Yethi is a market leader in offering QA solutions for banks and financial companies across the world. What makes us unique is our exclusive service for the BFSI industry. Our test automation platform, Tenjin, is a 6th generation robotic platform that has a simplistic plug and play design. It can offer high test coverage with end-to-end testing approach, and capable of testing even the complex software system with utmost ease. Tenjin Digital is designed to keep pace with digital consumers in the fast-changing trend of digital banking. It uses the Enterprise Mobility Testing Solutions to offer accurate and consistent results, across multiple devices and networks. With real-time testing, it removes delays and redundancies to ensure the system works at its best and offers a seamless experience to end-users.

Is the SET (Software Engineer in Test) Structure for Everyone?

The evolving technological advancements are reshaping the organizational structures and transforming the roles of individuals to suit the modern workplace. One such role introduced lately with the advancement of software development process is SET or software engineer in test. Otherwise known as software development engineer in test, the role demands the engineer to build solution for testing issues.

Software engineering in test is a role that is becoming more common in Agile methodologies these days. Microsoft and Google first used it after discovering that the testing team alone could not test the construct fast enough due to the limited test cycles. In Agile creation, the product development and test cycles must run concurrently in order to achieve the ultimate goal of product development in a timely and high-quality manner. This is where the SET job comes in.

SETs are involved in developing test automation solution to make the testing process faster, accurate, and consistent. Unlike testers who involve only in the testing activities, SETs write automated tests which requires coding skills. Hence, SET is an integral part of the evolving software development system. Now the question arises if SET structure is suitable for everyone? Let’s find out!

More About Software Engineer in Test

SETs also concentrate on designing test automation systems, such that trials can be performed easily and repeatedly. After all, test automation is a software utility. SETs write automated tests in the same way as front-end developers write websites and back-end developers write microservices. The same coding techniques and qualifications apply here. A Software Engineer in Test must have a developer’s mind.

A SET is more than just an automation engineer; they often streamline the software creation lifecycle for consistency. They create processes like running CD/CI pipelines and provide quick reports and reviews. To create strong product prototypes, they collaborate with developers and product owners. They have resources and frameworks that allow others to handle any research requirements. They can also step in to assist a team with manual and exploratory research on occasions.

Role of Software Engineer in Test

Far more than “writing test scripts” is involved in test automation. A significant research approach necessitates a significant amount of planning and commitment. A test case’s top-level automation usually is just a minor part of the puzzle. SETs are in charge of:

1. Collaboration with device owners and DevOps and automation testing

  • Participating in the preparation and construction phase
  • Examining the product code
  • Making up test cases

2. Creating systems for test automation

3. Use systems to automate test cases.

4. Knowing and using template trends when necessary

5. Creating the infrastructure for testing

  • CI/CD test execution
  • Parallel execution of tests
  • Conducting experiments with the correct test results

6. Creating dashboards for real-time monitoring of test outcomes.

7. Strong quality and research methods should be taught to everyone.

8. Tools for manual and exploratory research are being used.

Saying that testing is “just scripting” dramatically reduces the SET’s function and underestimates the amount of work it entails.

What Distinguishes Software Engineer in Test from “QA” or “testing” Positions?

The SET position is distinct from conventional “QA” or “testing” roles. Manual testing was the standard for software testers in the past because they didn’t require much programming skills. Product domain awareness, creativity, out-of-the-box thought, test preparation, provide advisory, and test device configuration were their strong suits; these are unquestionably important abilities.

SETs, on the other hand, operate in all production and research environments. They use their developer expertise to create applications to solve research issues. The SET role is normally far more focused on automation. Nonetheless, manual checking would still be needed, since there are certain issues that a person will detect far more quickly than a script (or an AI agent). A standard tester will be in charge of completing test cases for a squad, while a SET will be in charge of developing innovations that will allow other testers and developers to complete the research.

When Does an Organization Need Software Engineer in Test?

Currently, businesses are searching for specialists that can assist in app creation. At the same time, they should be in charge of evaluating the software that has been created. That is why recruiting SET is beneficial to them to focus on high performance code or testing system architecture.

The business processes in today’s companies have changed dramatically. They do more work with fewer employees. The position of Software Engineer in Test (SET) comes into play when it comes to scalable skills for a single person. They are the only professionals who participate in production while still being able to test the created software. As a result, the Software Engineer in Test (SET) assists in both the development of high-performance code, and the design of testing frameworks.

Mentioned below are some of the advantages of working with a SET professional:

  • By using their coding expertise, SETs specialists will automate the approval test.
  • End consumers or clients are the focus of these practitioners’ work.
  • They already have technical knowledge and can function as a developer.
  • Unit testing has extensive code coverage.
  • Can develop, deploy, operate, and maintain the program on their own.
  • On technological execution and consumer scenarios, influence the production, program management, and design teams.

Preferred Skills for SETs

  • Skills in object-oriented programming and coding
  • Distributed structures, algorithms, and relational databases
  • API testing experience is needed
  • Understanding of different test methods
  • Quality Assurance methodologies, life cycles, and methods are also well-understood
  • Database research experience, including planning and editing test results
  • In addition to coding skills, you should have knowledge of automation frameworks, software, and applications for smartphones

Industries That Require a Software Development Engineer in Test

Companies are increasingly adopting modern technologies and methodologies. As a result, SET tech experts are in high demand. In the field of testing, a software development engineer in test is most wanted in the following areas:

  • IT
  • Advertising
  • Hospitality
  • Gaming
  • Entertainment

Rely on SETs from Yethi to build the perfect test strategy 

The SETs at Yethi, with their immense knowledge and experience, will aid your organizations in both production and research. We are a niche QA service provider for banks and financial institutions offering. Yethi’s Tenjin offers testing solutions with cutting-edge technology that can ‘learn’ and ‘re-learn’ with minimal or no manual intervention. This codeless, auto-adaptive, agile test automation is perfect for enterprise application testing and also offers test automation for mobile applications.

Software Testing: Cybersecurity and Compliance Risk

We live in the digital age where technology has a great impact on our daily lives; this has become the driving force for social evolution in the modern times. The current scenario has led organizations to rethink their infrastructure and operational strategy with digital approach. With the evolving scenario of digitization, companies have witnessed an exponential rise in cyberthreats and breaches. Therefore, companies are developing new testing strategies to identify vulnerabilities earlier in the development phase and proactively preventing any potential attacks.

Cybersecurity testing is a crucial process in the risk assessment strategy. It helps organizations to understand, control, and mitigate any kind of cyber risk and ensuring complete data protection. With the emerging scenarios of changing regulation and regulatory criteria, cybersecurity testing has become the guiding force for growth of organizations. On the other hand, compliance testing is carried out to validate if the organization’s prescribed standards are met. Compliance testing is performed to avoid any compliance risk that can affect the organization’s exposure to legal penalties, financial, and material loss. Let us discuss the impact of cyber and compliance risk and how to tackle it with a proper software testing in place.

Cybersecurity: assessment and testing, what makes it critical?

Cybersecurity is mandatory among organizations to safeguard the data, improve user privacy, and avoid any kind of security breach. Companies are integrating various testing strategies to effectively assess and mitigate potential attacks. By resolving the potential vulnerabilities, organizations can prevent any incidents that can further lead to security breach.

Security issues arise when the organization lack the right tool to carry out the testing. In most of the cases, vulnerabilities go unnoticed due to lack of time and resources, outdated system, or the defect in the current software to offer an update option. Such loopholes in the software system can make room for the hackers to easily enter the system and practice unethical practices like data theft or manipulation.

The two major security testing criteria include:

  • Vulnerability assessment
  • Penetration testing

Vulnerability assessment

Vulnerability assessment is performed to identify the vulnerability of the system. It is an automated scan process of the network infrastructure that allows to identify the security vulnerabilities. These automatic scans consist of series of checks on every application to understand the configuration to detect any error, defects, or discrepancies. The checks perform rapidly to cover a wide range of data in a short time period, thereby, offering quick assessment of vulnerabilities.

Vulnerability assessment is performed by the using following steps:

  • Categorizing the assets and capabilities in a system
  • Identifying potential threats to each resource
  • Assigning the importance to those resources
  • Eliminating the vulnerabilities for the most valuable resources

Penetration Testing

penetration test, also known as a pen test, is an effort to assess the security of an IT infrastructure by exploiting weaknesses in a secure manner. These bugs may be found in operating systems, software, and applications, as well as incorrect settings and unsafe end-user actions. These tests may also be used to verify the effectiveness of defense measures, and end-user compliance with protection policies.

Penetration testing cybersecurity is regularly used to analyze websites, endpoints, web interfaces, broadband networks, network computers, handheld devices, and other possible points of vulnerability through manual or automatic technology.  Suppose a vulnerability has been successfully exploited on one device, testers attempt to use the compromised system to execute additional exploits on other internal resources, primarily through the use of privilege escalation, to gain incrementally higher levels of security clearance and deeper access to electronic assets and details.

Advantages of Penetration Testing Cyber Security

In an ideal world, the company’s applications and infrastructure are created to remove harmful security vulnerabilities from the outset. A pen test will tell you how far you’ve accomplished your goal. Pen testing helps with, among other things, the following security activities:

  • Identifying flaws in processes
  • Determining the control’s robustness
  • Assisting in the observance of data protection and security legislation (e.g., PCI DSS, HIPAA, GDPR)
  • Providing managers with both qualitative and quantitative explanations of the current security posture and budget objectives

The key areas to prepare for cybersecurity testing

Describing the type of cybersecurity testing: The first step taken towards tackling the vulnerabilities include defining the threat as a basic vulnerability or an advanced persistent threat. Ones the type of threat is classified, the tester further discuss on the type of security testing to be used, in most cases, penetration testing is used to identify the deep-rooted issues.

Testing procedure: Here, the testers analyze the vulnerability environment in real-time basis. Real-time risk analysis helps in identifying any newly created risk in the system, network, or Cloud. Furthermore, the automated option helps in rapid and accurate vulnerability identification.

Identifying the impact of the threat of the system: Identifying and describing a potential threat is important to further resolve the issues. This depends on whether the threat is an internal vulnerability or external vulnerability. External vulnerabilities are more serious compared to the internal, as they can create a loophole for hackers or any unauthorized personnel.

Discovering a process to mitigate risk: Risk mitigation is an important process to eliminate any kind of vulnerability in the system and ensure complete security. Risk mitigation process further involves analysis to choose the right resource. The company usually opts a third-party or the internal team to conduct the risk mitigation process.

Defining solution: Organizations mostly prefer third-party for security testing, who will not just identify the vulnerabilities but also provide their valuable advice on security products and tools to buy. Companies are often seen to perform due diligence and expect the third-party to conduct independent security analysis to ensure complete safety.

What is Compliance Testing?

Compliance is characterized as adhering to laws and fulfilling criteria in general. Any deviation from the law can lead the company to face legal issues often referred to as compliance risk. To avoid any compliance risk or mitigate the existing risks associated with compliance policy, organizations usually carry out compliance testing.

Compliance testing in cybersecurity refers to the creation of a program that provides risk-based controls to safeguard the integrity, confidentiality, and usability of data collected, transmitted, or transferred.  Cybersecurity compliance is not dependent on a single norm or rule. Different criteria can vary depending on the market, causing uncertainty and extra work for organizations that use a checklist-based methodology.

Information Subjected to Cybersecurity Compliance Testing

Individually recognizable data: Any details that may be used to uniquely identify an individual are included.

Health information: Includes data of an individual’s personal records or medications, as well as specifics that may be used to recognize them.

Financial information: Payment systems, credit card numbers, and other data that may be used to hack a person’s identification or financial capital are included; for example, stolen credit card numbers may be used to make illegal transactions.

Advantages of Compliance Testing

Organizations that are subject to the sector or state cybersecurity legislation are bound by rules to comply with the regulations and take the prescribed steps in the event of a data breach. Businesses that are found to be non-compliant can face severe penalties in the event of a violation. Strict adherence to cybersecurity compliance standards mitigates the likelihood of a data breach and the related resolution and recovery costs, as well as the less quantifiable costs associated with a breach, such as reputational harm, business disruption, and loss of business.

Implementing a robust cybersecurity compliance mechanism allows you to safeguard the company’s integrity, preserve consumer confidence, and increase customer satisfaction by maintaining the safety and protection of the customers’ confidential details. Additionally, the company would profit from increased operating productivity with transparent and reliable processes for handling, maintaining, and utilizing confidential data. Implementing adequate protections and compliance procedures to safeguard confidential consumer and employee details strengthens the company’s security position. It helps secure proprietary property, such as trade secrets, software code, product specs, and other information that provides a competitive edge.

Outsourcing During Covid

Ever since the WHO announced COVID-19 as a pandemic in March 2020, there has been strict regional lockdowns, social distancing norms, and restriction of movement across national and international boundaries. This scenario has changed the way businesses operate by emphasizing on virtual models rather than direct interaction between the company officials. The ‘new reality’ offers tremendous opportunities for organizations to reconsider their current operational arrangement and adapt to outsourcing. As the ‘new normal’ focuses on remote working, outsourcing can ensure business continuity, disaster recovery, reduced cost, regulatory compliance, and a lot more.

With the current situation of economic uncertainty, damage recovery, and increasing fear of second and third COVID wave, establishments across the world are considering outsourcing to regain momentum and increase business resilience. Outsourcing is gaining popularity amidst COVID-19 as it helps in reducing cost, increase work efficiency, focus on core business areas, access to skilled workforce, and so on. With the increasing focus on the outsourcing industry, it is expected to bloom significantly in the post-COVID era.

Why to outsource during COVID-19?

As the effect of the virus is taking the world by its side, companies are striving hard to recover from the economic damage they have experienced. In this scenario, companies are moving towards ‘outsourcing’ approach to leverage their niche skills, incorporate new ideas, and cut operational and infrastructural cost. Outsourcing helps companies adapt to the highly dynamic market, especially during the unpredictable scenarios after the onset of COVID-19 pandemic.

Outsourcing has been around for many decades, but it had not witnessed a significant growth as it did after the beginning of the pandemic. Outsourcing has become the main strategy for many companies to mitigate disaster and reduce the long-term impact of the virus on the business operations.

Reasons for companies to choose outsourcing services during pandemic:

Reduced cost: The COVID-19 has already put business in a tough place of financial strain, it might take even a couple of years for the companies to overcome the financial loss and operate as usual. Outsourcing is a feasible option to save money as it is most affordable than hiring an in-house resource.

Focus on core business activities: The pandemic has already put companies in stringent use of finances and manpower to keep up and running. This situation has put the organizations in strain, creating scenarios that can move the focus away from the core business. By outsourcing, the regular business will move forward as expected without any hitches, while giving enough time and energy to focus on the core business and re-strategize the operations.

Skilled resources: By creating a partnership with the outsourcing firms, businesses get access to their niche skills, which can, in turn, help the organizations with better quality service.

Eliminating the hassle of onboarding process: Finding and onboarding a new resource can be a tedious task during the pandemic situation. Though digital onboarding processes are available, it is difficult to find the suitable resource with the required skillset. Hence, outsourcing your services is the best possible alternative.

Customer satisfaction: When an organization outsources its services, it can be sure of receiving a higher quality outcome within the estimated time, thereby, delivering uninterrupted services to its own customers. This whole scenario will lead to happy end-users as they are receiving continual services even during the lockdown period.

Therefore, it is a wise move by companies to adapt to the outsourcing strategy to maintain service quality and business continuity. This will help the organizations to fill in the operational and infrastructural gaps and continue to serve their customers with good quality work.

Top outsourced jobs during COVID include:

  • IT services
  • Software testing/ test outsourcing
  • Banking outsourcing/ Banking BPO
  • Call center
  • Social media management
  • Website management
  • Copywriting
  • Payroll
  • Data conversion
  • Transcription
  • Inventory management
  • Accounting and bookkeeping

How to evaluate outsourcing partner during COVID-19?

Though ‘outsourcing’ is a buzzword across all industries with many companies preferring outsourcing services for improved quality and reduced cost, the trend is changing in the post COVID era. The traditional outsourcing models have faded, and companies are creating new strategies to establish collaboration for outsourcing. Here are some of the plans that companies should consider for making an outsourcing collaboration during COVID-19 or even during normal scenario:

Look for reputed companies with good reviews: When backed by a team from the most reputed company, the organization can be sure to have business continuity even during unexpected events.

Good communication and workflow systems: Good communication can avoid any kind of misunderstanding that can give wrong outputs, saving money, time, and energy. The same is true in case of the workflow systems too; a well-designed and self-explanatory workflow systems can prevent any confusion between both the parties.

Cybersecurity is the priority: In the COVID-19 pandemic situation where businesses are moving to digital platforms, cybersecurity is of utmost importance. Choose the partner who has a modern and completely secured system that offers detailed protocols for keeping all data and software products safe.

Experience: Experience of the outsourcing company is a requirement for creating reliability. More the experience, better they can handle different scenarios, thereby, helping you achieve your goal.

A complete range of services: It is always recommended to opt for a service provider who can offer a complete range of services you are looking for. In this way, the complete work is handled by one party rather than having multiple partners. This will reduce hassle, time, and confusion.

Yethi, your outsourcing partner for test automation solution

Yethi is your go-to partner helping you with testing automation solution for banking and financial software. We understand the challenges that lay ahead of testing in the banking/financial software, therefore, offering a perfectly designed QA solution. Yethi’s Tenjin is a revolutionary test automation platform that is diminishing operational, financial, and reputational hazards with end-to-end business process authentication. It focuses on increasing the agility, consistency, and accuracy of the organization’s core software system.  COVID-19 hit globally when already Yethi had bagged a couple of projects worldwide. With the pandemic came restrictions in travel; the major challenge during this phase was to execute, manage and monitor the testing projects remotely. Our team consisting of 300+ QA specialists put together with their experience and expertise an exemplary task of carrying out the entire project remotely without having to travel to the onsite location. Our solution and services involved test execution, test management, and defect management at various stages to ensure accurate test results with great performance. Not just we have delivered the project on time, our support team made sure that our clients do not face any technical glitches at their end. Our deployed product at the front end continued to produce most accurate and consistent results.

Financial Payment Systems: Quality assurance and testing

Payments is considered the heartbeat of banking and is an area that is witnessing significant disruption. Transactions today occur not just through debit/credit cards but also wallets and other micropayment systems – not to mention the surge of cryptocurrency. In addition, regulators globally are encouraging competition and innovation by granting licenses to pure-play payment providers. Payment platforms handle a large volume of transactions and the need for better/faster/ more accurate reconciliation is also therefore growing. Ensuring faultless systems with fast processing times and robust security are the need of the hour. 

Increasing the diversity and speed of testing how payment messages are generated, processed and reconciled would help reduce mis-steps and need for manual reconciliation. While there have been significant attempts to automate testing of Transaction Entry, testing of the entire payment lifecycle remains largely manual. 

Till recently, financial institutions have generally relied on manual testing methods for quality assurance of payment systems, compliance, and security. However, digital transactions have grown a whopping 338% in just one year. This has been brought about by innovation and advent of new players. Banks, who provide the backbone for all payment transactions are finding that the rate-of-change is extremely high requiring significant improvement in exception handling. Testing / QA of these platforms is gaining a higher focus due to the volumes and values involved. 

In this article, we take a closer understanding of the landscape of automation testing and quality assurance for financial payment systems and discuss the path forward to iron the kinks.

Manual vs. automated testing for electronic financial payment systems

1. Capital and resources

Manual testing heavily relies on human experience and expertise for execution. In this case, building a reliable hub of QA engineers and state-of-the-art testing tools is of paramount importance. This is not as capital intensive when instances are low. However, as real-time payments become more popular, it becomes imperative for engineers to adapt, or you may face a higher risk of manual errors and leave significant loopholes in security.

On the other hand, automation testing is quite capital intensive, but the ROI becomes significant when much of the recurring tasks are completed at record speeds without human intervention. Note that the upcoming generations prefer the convenience of digital services over the user experience of traditional brick & mortar branches.

2. Flexibility vs. replicability

Manual testing systems are inherently advantageous for catching one-off ambiguous errors. A manual testing system that is equipped with the latest tools and techniques can accommodate for versatility and be highly responsive.

On the other hand, where the manual system may fail, the automated testing system shines – replicability. Recurring errors for which there is a temporary solution at hand can be automated, while the resources to dig deeper can be handed over to the top QEs. If not, resource management becomes an intensive process where specialists are forced to work on repetitive tasks instead of actually fixing the problem from the root. This may be the very reason for frequent headlines that begin with “IT meltdowns.”

3. Time to deploy

Bringing in new technology to the QA system used to be a cumbersome task. Agile methodologies and the Continuous Delivery framework have vastly helped improve the time to deploy QA systems.

As market forces are dictating the deployment of creative apps, faster product development cycles have become imperative. If containerization and microservices are leveraged well, automated systems can be a crucial asset in deploying new apps as well as new versions at a faster pace to keep abreast with the competition. It’s also much easier to recall the apps to older versions in case of technical glitches if the code is automated.

With automation, coders can focus on validating scripts rather than writing scripts which is much more time-consuming.

4. Scalability

In a world where change is constant, and new regulations are brought in with little time to restructure existing infrastructure, the question of scalability remains a looming point. Quality Assurance Payment Systems should not only be able to scale for volume but also accommodate for framework changes on the fly. In this case, generic software solutions are currently struggling to cater to the ever-increasing demand. However, smarter solutions such as no-code testing can be the key to adapting to the market’s ever-changing demands.

5. Data creation and virtualization

The most important factor in testing the robustness of generic tools is how well they are able to simulate real-time transactions. While older systems are able to accommodate for task-based testing, there is little evidence that they work well for behavioral testing. This kind of deeper analysis is what should drive the continuous improvement cycles on agile systems. No doubt, some of it can be analyzed manually but is that enough? Data-backed decisions provide the best analysis of the impact of concurrent external events.

Making the best of both worlds

As we’ve seen above, there is a necessity for both manual testing and automation testing to coexist.

Most software suites today are driven towards making the life of coders easier. However, it’s not the coder who forms the bridge between the bank and consumer, but the business analyst. Codeless Payment System Automation Testing is a pragmatic solution that is geared towards enhancing the product life cycle.

With codeless automation, you have little to worry about hiring or outsourcing a large team for android, iOS, website, and desktop application testing – all recurring tasks are taken care of in-house. All you need is a well-qualified and experienced team of analysts who have the know-how of coding and a team of specialists who can tweak the code on the fly.

To take care of recurring tasks, robotic automation testing software that “learn” on the job are the key. An RTA tool must be able to integrate easily with a device farm and quickly carry out tests across form factors. RTA tools also pose an advantage in that they are DevOps ready – meaning they can easily mesh with existing DevOps tools. This further improves the efficiency of the CI/CD pipeline.

Yethi’s QA services for financial applications

As the weaknesses of manual testing become more palpable, investing in a trusted automation testing and quality assurance partner is an inevitable reality. In this phase, banks and other financial companies are creating and updating their payment software to online, mobile, and other digital platforms. This increasing number of online users has created a need for an immensely effective software testing solution that will leave no scope for compromise in any aspects of functional usage, performance, or security.

At Yethi, we have introduced an efficient software platform for payment software to work at their best while offering complete peace of mind to the entire client base. Tenjin, Yethi’s codeless automation tool, has revolutionized test automation in the banking and financial sectors, offering an impeccable system that offers no scope for errors. Yethi has established itself as a market leader in QA services to the BFSI industry by offering testing solution to popular banking software including Oracle Flexcube, Infosys Finacle, and TCS BaNCS. Tenjin has created a deep impression in the market for its quick deployment test automation solution that conducts the testing without the need for scripts or codes while offering nearly 100% accuracy.

Exploratory Testing vs Automation: Why both should coexist?

Building an efficient testing strategy is an integral part of any software development process. The success of the software depends highly on QA as it improves the overall quality and efficiency of the software. There are several testing techniques and tools available, that are used by companies to improve the quality of their developed software. Testing tools reduce the number of test cases to be executed, increase test coverage, offer a nearly hundred percent test result, and help to identify test conditions that are otherwise difficult to recognize manually.

The advancement at the technological front has provided the tester with inexhaustible list of techniques for a detailed testing process within an agile ecosystem. Among the different techniques used by organizations, exploratory and automated testing are popular for the robust functionality and better user experience they offer. Though exploratory and automation testing have their set of advantages, it is important for them to coexist within a system for better outcomes.

Exploratory and automation testing explained

Exploratory testing is a kind of software testing where test cases are written during or after testing processes. The testers check the system on the fly and strategize to decide “what is the test objective” before the test execution. This kind of testing is widely used for testing agile models for effective results. Exploratory testing is a kind of playful activity for a tester to utilize their expertise and scale up their skills. During the exploratory testing process, the tester utilizes their skill to identify, explore, and learn more about the problems and objectives to perform software application testing in detail before planning, structuring, and performing actual testing.

Automation testing is a software testing technique where the tester usually leverages automated testing software tools to execute a well-defined test case suite. Unlike exploratory testing, automation testing involves less human intervention, which increases the coverage, and speed of test execution.

The need for exploratory and automation testing to work hand in hand

With the growing technology to offer convenience to the end-users, companies are investing in advanced development process. Such systems run on complex algorithms and requires specialized testing solutions to handle the complexity, increase accuracy & performance, and reduce time-to-market. Exploratory testing or testing with a loosely defined plan / objective is helpful in identify unexpected behavior. However, considering that “net-new” functionality often forms a very small portion of the overall software behavior, it is important that testing efforts cover “regression” to an extent that is required and economically viable.  Test -Automation helps increase the volume of tests that can be executed in a fixed period of time while reducing cost-to-test. 

Automation testing performs complete end-to-end testing, covering all aspects like user-acceptance, regression, performance, and security. They are popular for testing complex systems with ease and reduced time, without compromising on accuracy and consistency. Automation testing involves a detailed planning and execution protocol. On the other hand, exploratory testing focuses on minimal planning but explores an elaborate test execution process. They are most suitable for testing of multiple versions of a software using agile methodologies, and also suitable for features of an upcoming software.

Automation testing aims at working on test plans, test cases, test steps, and test results, while exploratory testing involves discovery, investigation, and learning. Hence, when both of them go hand in hand, it is likely to create a software with minimal or no errors and working flawlessly. On the event of exploratory and automation testing coexisting, they complement each other and enhance the software with each version release.

The key differences between test automation and exploratory testing

  • Tester skill is a key to exploratory testing, and for automation testing minimal manual scripting is required for achieving expected results.
  • Exploratory testing emphasizes on adaptability and learning, whereas automation testing emphasizes on prediction and decision making.
  • Exploratory testing is an investigative procedure where testing modules can mold according to the tester’s spontaneous decisions for optimizing the testing methodology. In automation testing, the tester follows a predefined protocol by confirming all the testing requirements, so there is no scope of improvement in automation testing.
  • Exploratory testing is not random testing; it is ad hoc testing with a procedural approach to finding bugs and debriefing. Automation testing is an approach to use a framework of workflows for effective outcomes.

Yethi’s test automation solutions for banking and financial sector

At Yethi, we can conclude a wide range of testing activities for diverse banking applications. We deliver solutions leveraging both practices of exploratory and automation testing. Our team brings expertise at the intersection of banking operations and software testing, enabling us to understand the “business intent” of the software and design and execute a test-strategy to effectively and efficiently cover any software deployed within a banking/financial institution. Automation testing is best in testing cases for business-critical applications where test cases require repeated execution, which is often time-consuming. Yethi’s test automation tool, Tenjin, is a 6th generation, robotic test automation platform that allows you to build and maintain test-automation. Targeted at a business analyst, it is a code-less platform that can be leveraged by people with no programming experience.

Digitalization: Learning from Workflow Testing

Digital technologies have gained momentum in the last few years reshaping the business models and helping companies to explore new opportunities to scale up efficiencies and improve customer satisfaction. This trend of evolving technologies has led to the progress of digital workflow systems, to provide greater insight and efficiencies. To keep the digital workflow system up and running, organizations are innovating and streamlining the existing processes. Having business operations and software development closely interact and adopting practices such as DevOps, businesses have accelerated digital adoption cycles.

Every organization is creating a new digital transformation strategy to efficiently incorporate digital workflow and remove any hurdles associated with integration, processing, and maintenance. This process of building and implementing the digital workflow strategy should be backed by strong quality assurance teams and powerful test automation practices. Strong QA process will help bring faster stability to the systems, detect even the slightest of errors, and provide faster updates to the developer to fix any issues. Hence, the test automation forms an inevitable part of the modern, digital workflows.

Redefining the role of test automation in digital workflows

With the increasing emphasize on technology, organizations are moving towards digital, omnichannel workflow systems to offer seamless customer experience. Furthermore, organizations are adapting to the modern software development process like DevOps to improve the digital workflow system. This kind of development process works on highly complex and unified systems that are driven by specified APIs, GUIs, AI, ML, and other Cloud-driven applications. To ensure the speed, quality, accuracy, and consistency of these systems, test automation plays an essential role.

To sustain and succeed in today’s highly competitive world, organizations are optimizing their workflow testing strategy to suit the modern application development practices and DevOps implementations. Such test executions are an important part for successful digital transformation.

Changes required for test automation in digital transformation scenario:

  • Focus on business tests
  • Emphasize on continuous testing
  • Improving processes with test automation
  • AI integration

Focus on business tests

Workflow operations are directly linked to business outcomes. Incorporation of digitization in the workflow systems are important for greater execution and enhanced customer experience; thus, allowing companies to build new workflow testing strategy to improve the performance of the entire process.

With digitization, the role of test teams has undergone a major transformation. Testers are not required to manually write the codes for all the process that is being developed. The QA process has been automated to handle complex business operations like real-time performance, interacting with other applications, flexible to the user preference, and a lot more. Businesses understand and develop test execution based on their requirements.

Emphasize on continuous testing

Digital workflows demand tools and concepts that deliver faster, accurate, and consistent results. CI/CD (continuous Integration/continuous delivery) practice is the most preferred among the developers for the speed, quality, and ease it offers. The success of the CI/CD process also lies in expanding the scope/coverage of the software testing efforts and the proverbial -shift-left testing. Continuous testing is bringing a testers mindset of questioning/ enquiry in early/all parts of the product development cycle. This enables the testers to identify any issues at an early stage in the development process and allows developers to fix the issues early which will further enable an easy and smooth development process with accurate end results.  This is achieved by questioning and revalidating assumptions (documented or undocumented) and establishing cause-effect relationships between varied parts of your development efforts. 

Improving processes with test automation

Digital workflows and test automation work hand-in-hand. The success of a digital workflow system lies in automating the testing process. Manual testing, while being highly effective, is tedious, time-consuming, and often prone to a number of errors.  A judicious mix of manual and automated testing should be applied to achieve maximum coverage and error-discovery.

As discussed earlier, digital workflows need continuous testing process to ensure the quality of the system. Continuous testing can be achieved only by test automation solutions. Test automation are implemented to conduct end-to-end workflow testing that includes test creation, processing, execution, test data generation, test data and environment management, running test suites, security testing, and generating reports.

Though test automation can provide reliability, accuracy, and consistency, it is essential to identify the right test tool. In the event of failing to do so, the anticipated time and effort savings can be lost in building and maintaining automation scripts. In critical digital workflows, testers create smaller regression suites and run the test; the results are analyzed, and problems are reported to the developer.

AI integration

AI and ML integration are offering new possibilities for test automations. AI has increased the speed of test automation by multiple folds, this is achieved by applying complex algorithms running in the backend of the AI-integrated system. AI-integration is still at a nascent stage, organizations are exploring different possibilities to use them for automation of different digital processes. AI testing are used to test application usability, features, integrations, and test data analysis. Furthermore, AI-driven test automation allows the machine tor self-learning and taking proactive actions with minimal or no human intervention.

Digital workflow testing for early issue identification in DevOps

DevOps practices are popularly used for application development in the modern world. Test automation helps them to identify and resolve issues at an early stage of software development lifecycle. Without a digital QA strategy, test automation can help to remove the barriers of the digital processes.

Digital-driven software development are the modern processes that are backed by powerful QA system. Implementing test automation practices right from the beginning of the DevOps cycle will adapt a true shift left attitude and perform the test activity with utmost precision. While test automation has distinct benefits, it requires careful planning supported by the right skillset to achieve the desired ROI.  Hence, it requires testers to reskill to fit in the modern digital scenario.

Yethi’s QA solutions to modern workflow systems

Yethi is a QA service provider for banks and financial institutions across the world. Yethi test automation tool, Tenjin, is a 6th generation, robotic test automation platform that is capable of handling diverse workflow applications. With successful testing of inexhaustible workflow systems in the past for our esteemed clients, having us placed as one of the top QA testing solutions for financial software systems.

Tenjin is capable of providing effortless test automation with reduced time. It specializes in handling automation of continuous integration/ continuous development processes to keep in sync with the development process, thereby, ensuring to fix the issues as they are detected. It further helps in end-to-end testing of all workflow stages, strategizing, analyzing and designing test cases, executing and monitoring entire workflow stages and process. Tenjin’s multiple rounds of test execution to offer accurate test results even under high-risk scenarios make us the perfect QA partner. We carry out thorough analysis and testing to achieve specific, measurable, achievable, realistic, and timely results/

Credit Origination: How to bring agility and flexibility to your origination process

Credit Origination: How to bring agility and flexibility to your origination process

The culture of credit lending has been in existence from time immemorial. With the onset of the millennial era, the loan process has become an integral part of the modern banking system contributing majorly to the economy. In current times credit origination is designed for efficient loan processing, which will offer an end-to-end solution in terms of the complete loan cycle, credit analysis process, risk mitigation, and ensure that the entire procedure is in complaint with all legal policies and regulations.

The credit origination process is a complex affair that involves an elaborate set of processes namely customer onboarding, know your customer (KYC), loan proposal, document management, cashflow analysis, multi-stage approval, disbursement schedule, loan contract, loan sanction, and the disbursement. It is important to streamline the process to ensure that all the stages involved in loan processing are carried out without any hassle, thereby, offering a seamless experience to the customers.

As credit systems are becoming a central part of today’s banks/ financial institutions, the need for an advanced software solution is increasing. To ensure that the software system of the credit workflow and origination operate without any flaws, there is a need for a robust and agile testing solution for the process. The testing of the credit lending software will make sure that the entire process from loan initiation to completion work without any issue that will eventually help in customer satisfaction and retention.

Building agile and flexible credit process with future-proof solutions

The introduction of digitization in the banking/ financial sector has changed the credit lending process in the last decade and will have a similar impact in the coming years too. In order to adapt to the highly dynamic market and deliver customer-satisfactory solutions, it becomes important for the banks/ financial institutions to have an agile and flexible process that is future-ready. This is impossible without an advanced software system in place created with a strong SDLC framework, and not to forget the agile testing of credit origination platform.

Loan origination is not as a simple process as it may sound. It involves seven critical stages to complete the loan process, namely, pre-qualification, loan application, application processing, underwriting process, credit decision, quality check, and loan funding. Hence, the testing process requires system integration to support the process across all these stages and channels.

An array of features for creating an agile credit process

Integrated credit system and risk management: Banks and financial institutions have embedded credit policy guidelines to align with the regulation and help in risk mitigation. This helps in staying compliant with the changing regulations of the credit origination process and improves the risk calculations. Further, helping organizations to improve the profit margin with better credit analysis and reduced faults on loan.

Designing responsive systems: Credit lending is a highly complicated process in the banking/ financial sector. To ensure effective customer service, it is important to build a responsive system that can process repetitive, mundane jobs and ensure accuracy and complete customer satisfaction. 

Mobile optimized solutions: With the increase in the number of smartphone users, loan origination is slowly moving towards an app-based interface. Mobile apps offer a great deal of advantages like on-the-go document submission, information capturing, real-time monitoring, easy approvals, and document reviews.

Performance and quality: Performance of credit origination platform drives system efficiency and strong customer service. To, further, support the performance of the real-time services for accessing the loan documentation, financial spread sheets, and the core loan processing system, an agile QA methodology is required to find out any faults in the software and ensure the system is working at its best in terms of quality and performance.

Integrated audit trails: Integrated audit trails are introduced to aid the compliance of the process. This also allows checking the loan-to-value, pricing, and coverage ratio in the credit process.

Testing of loan origination software

Originating credit is the lifeblood of consumer banking.  LOS (Loan Origination System) systems allow banks to rapidly scale while bringing in standardized processes.  To compete with FinTechs, banks need to constantly tweak their origination workflows and scoring engines.  To ensure flawlessly working LOS and LMS (Loan Management System), banks and financial companies are investing hugely in the right software testing tools. The testing aspect of the process covering functional testing that involves user acceptancesystem integration and regression testing of credit origination platform, and non-functional testing involving security and performance testing.

Test automation solution with AI-integration is getting popular among the banks/ financial institutions to remove bugs, mitigate risk, and help the lending banks and borrowers. Any discrepancies in the LOS or LMS can create high risk scenarios and lead to huge loss on money while hitting the reputation of the company hard. Hence, it is crucial to have thorough testing of the credit process to ensure a perfectly working system.

Why Yethi for the testing of loan origination process?

Yethi has a successful past of offering testing solutions to a wide range of banking and financial processes; one of the popular testing solutions is for the credit lending process. We understand the complexity of initiation, procession, and management of credits and the highly sensitive client data involved in the process, therefore, we offer automated testing solutions to help you operate the entire process easily and smoothly. Yethi helps you with the automation testing lifecycle of the entire loan process. It involves an elaborate origination, servicing, and collection process at various stages, helping you find out even the minute error in the system. We are your perfect QA partner as we carry out multiple rounds of execution to ensure accurate testing results. We carry out thorough analysis and testing to achieve specific, measurable, achievable, realistic, and timely results.

Touchless Customer Service in Banking: Digital Client and Transaction Authentication – Retail and Corporate

Touchless Customer Service in Banking

Touchless technology has created a buzz in all possible industries, becoming the most popular word of the last decade. Every one of us have witnessed the growing use of touchless technology at various instances such as automatic taps at malls, automatic doors at the supermarkets, biometrics at the airport, or even using no-touch technology on the phone by using virtual voice assistants integrated with smartphones. Touchless technology can operate on touchless sensing, voice recognition, facial recognition, etc.

Touchless technology was developed as a part of the innovation process to create a new interaction experience beyond the tedious traditional customer interaction methods. It creates a new interface allowing one to use their voice or gesture to hold a communication with the device. The popularity of the contactless technology emerged for greater convenience and security it offers.

Even before COVID-19 swept the global countries in 2020 letting people emphasize touchless technology to curb the infection rate, it had long before gained popularity among the retail and corporate customers for the greater convenience they offer. The bankingfinancial sector has utilized touchless technology like no other industries, to offer seamless customer service. With the rising threat of COVID-19 and global travel restrictions, there was a decreased footfall in the banks. This led banks and financial companies to continue making hefty investments in touchless technology to improve their customer service like never before. The touchless technologies, which had been preparing beneath the surface made their appearance ever more strongly during this pandemic, giving rise to the massive transformation in digital touchless banking.

Touchless customer service in banking/ financial sector

With banks and financial companies embracing touchless technology, the advancement is growing much beyond touchless payments and transactions. Furthermore, the rapidly increasing pandemic has witnessed a reduced footfall in banks as people are preferring virtual platforms over physical branches. With touchless payments being introduced, one can make a payment by just waving, tapping, or scanning cards or smartphones at the merchant machine/ QR codes.

The scope of touchless technology in the banking and financial sector is immense. Know your customers (KYC) validation, which was earlier required by the customers to visit the branch and submit the documents physically, has undergone a series of changes to ensure that the validation is completed within a few taps on the smartphone and authenticating using facial recognition solutions. Moreover, banks are offering greater flexibility to the customers by introducing online banking, mobile banking, chatbot support, and third-party apps for added ease and satisfaction.

The on-going COVID-19 pandemic has led people to switch to touchless payment to minimize the risk of infection. There has been a significant surge in the number of people using contactless transactions during this period. The banking process such as video KYC and virtual credit cards, which were still at a nascent stage, have geared up in the recent past.

With the growing use of apps, smartphones are slowly becoming the new mode of payment. UPI (Unified Payments Interface) payments, such as Google Pay, have gained popularity in the last few years. UPI has become customers’ new favorite for the ease and seamlessness it offers. It has literally replaced the wallets while offering completely secured and smooth payment option.

Banks are, further, turning towards advanced technology such as AI and ML for decision-making and process automation solutions to streamline the bottlenecks in operational bank servicing processes. Similarly, infrastructure and development of a microservice banking architecture also allows flexibility, scalability, and continuous change.

To initiate anytime and anywhere service, banks have introduced advanced solutions such as interactive teller machines, kiosks, lockers to pick up negotiable instruments, and instant-issue debit cards. These new introductions by banks and financial companies are slowly changing the way we make payments in today’s technology-driven world.

Transaction authentication for retail clients

Customer expectations are ever-changing, creating immense pressure on the banks, financial institutions, and Fintechs to offer better than what they have now; this transformation has led to touchless payments. Unlike physical transactions where the customer has complete control of the merchant system, touchless transactions do not. Hence, it becomes mandatory to have an excellent authentication process to ensure a completely secure transaction.

Bank frauds were on the rise in the last few years, the case of identity theft, money heist, data breach, and other banking scams were commonly increasing. To ensure adequate security during touchless transactions, banks have invested a hefty amount in improving their authentication system. This forms an integral part of the transaction process which cannot be compromised. With the improved authentication process, bank frauds have been reduced tremendously.

Banks have enforced new login methods to authenticate the transaction; the popular verification process includes password login, OTP authentication, and text code verification, among others. Banks are coming up with two-factor authentication for tighter security; this offers much more security than just using a password. Here, the user provides two different factors to authenticate his transaction. The factors may include a password along with fingerprint verification, facial scan, and so on.

With the increasing contactless transactions, banks and Fintechs are moving towards an intelligent authentication process. Banks are developing intelligent authentication strategies where there are thousands of authentication points underlaid for an individual customer. The growth in the technology front is paving way for more advanced authentication systems in the near future.

Transaction authentication for corporate clients

Banks and financial institutions are tying up with multinational companies and other smaller and medium companies to offer financial services. To protect the customers’ accounts, they are boosting up their security systems to eliminate banking frauds, while offering convenient transactions without any risk.

To secure corporate transactions, banks and financial institutions have a strong authentication in place. When a corporate client initiates a transaction, it determines the number of approvers required for the transaction. Authentication messages are pushed to the approvers which display the details of the transaction, which can be accepted or rejected by the approver. The responses are further, required to be digitally signed using certificates namely emCert X.509.

Corporate authentications are fully encrypted communication channels with mutual authentication. It offers two-factor authentication and is protected by completely secured systems to provide safety from malware attacks. Furthermore, these authentications are ISO 21188:2006 compliance and work on fallback technologies like SMS or OTP generation.

How secure are touchless transactions?

Contactless payments are more secure than you think; it offers security and convenience without letting you compromise on either. To strengthen the security of cardless payments, the transactions are protected by a PIN number which is used by the customer to authenticate the payment. When a contactless transaction is carried out, there are multiple, complex algorithms running in the background to ensure the transaction happens instantly, accurately, and securely.

Similarly, UPI platforms like Google Pay, also offer completely secure transactions. Here, the payments are carried out in highly secured servers. The details of the card are always masked and never stored in the phone or shared with merchants. Payments are usually carried out by using mobile numbers. While using the UPI platform for transactions, a confirmation is sent to verify your payment. This verification mail includes the details of the payment such as amount, merchant’s name, and so on. This kind of contactless transaction also provides the option of locking the app using android device manager, in case of a lost/ misplaced phone.

In case of other contactless payments such as virtual credit card, cardless payments, interactive teller machine, cardless cash withdrawal, or drive through ATM, the payments are completely secured by authenticating the transaction with an OTP (one time password) sent to the registered mobile number.

The payments done by scanning QR Code or wirelessly connecting to the POS (Point of Sales) machine is done by using the near-field communication technology that transmits the digital data and allows the card to connect wirelessly to the machine.

Why Yethi for testing digital authentication process?

Yethi is your go-to partner for helping you with testing the authentication of contactless transactions and related advisory. At Yethi, we understand that touchless transactions are moving much beyond card payments. With the growing use of apps, smartphones are slowly becoming the new mode of payment. Hence, we offer banks and financial institutions an advanced system to test the authentication in contactless payments. Yethi’s Tenjin is a revolutionary test automation platform that is diminishing operational, financial, and reputational hazards with end-to-end business process authentication. It focuses on increasing the agility, consistency, and accuracy of the organization’s core software system.

Codeless Test Automation for Banks – The What, Why, How

Codeless test automation for banks

The world is stepping into a new era where technologies fuel digital transformation across all sectors. While it sounds exciting, this innovation and digital transformation impose many challenges for both the development and testing team.

Many QA professionals are still facing gaps in automating test cases which slows down the software development process. Sometimes they lack the expertise required to write test scripts. The errors in the test scripts are the prime reason for the failed automation attempts.

Though code-based testing is time-consuming and requires more effort, it is the most effective strategy for delivering the highest product quality. But it does not fit well in the rapidly changing technology-driven world. There is a need for a solution that runs in a stable and reliable atmosphere and provides efficient results. No-code test automation solution that combines both manual and codeless automation is the way forward.

Codeless test automation eliminates the challenges faced by QA professionals. It empowers the organization to deliver accuracy, consistency and speed up the product’s release time to market. It also allows testers to automate the testing process and maintain the test scripts efficiently.

What is Codeless Test Automation?

As the name suggests, codeless test automation allows testers to automate the testing processes without writing any script. It does not require any coding skills throughout the testing phase. Codeless test automation has become very popular over the past few years as it reduces the time in test creation and boosts software release velocity. It relieves QA professionals from the responsibility of coding. But they must have a good understanding of testing methods, pain points, and business goals to deliver results.

Codeless test automation allows testers to focus. Enhancing skills and learning new technologies is a part of all the project’s requirements. But it takes a lot of time, effort, and patience to learn a new programming language which often distracts QA professionals from their primary functions. Codeless test automation puts them back on track and shifts their focus on delivering the solution fast and achieving business goals.

Benefits of Codeless Test Automation

Better Test Coverage
A Codeless test automation solution provides high test coverage. It breaks the shackle of testing software or application of only one platform type. You can test a wide range of software or applications like iOS and Android applications, websites, desktops, etc. The increase in test coverage allows QA professionals to use a single platform for all their needs and reduces the time required for testing an application across multiple platforms.

Shorter Time to Market the Product
Rather than spending time on writing scripts, testers can shift their focus on validating quality. Many codeless test automation solutions offer integration features that fulfil the growing needs for scalability while managing the automation process.

Increased Test Reusability
A Codeless test automation solution stores the results of the previous test cases so that you can reuse the test steps multiple times. It takes away the hassle of manual effort by automatically upgrading the test cases. It utilises machine learning and artificial intelligence algorithms to manage and maintain the test sets.

Empowered Agile Methodology
It does not require any coding or programming skills. It empowers agile methodology by allowing people with diverse skill sets and knowledge to participate in the testing process. It ensures transparency in the project and keeps a collaborative workflow for the whole team.

Codeless Test Automation with Tenjin

Tenjin automation suite covers the entire software development cycle. It automatically reads the test cases from Microsoft Excel sheets, executes them, and generates a consolidated report of the test cases and test outcomes at the end of the process. It meets the rising business needs for scalability and higher ROI.
Tenjin codeless test automation solution comes with the following comprehensive functionality-rich features:

NaviFlow Learner – automatically discovers the graphical user interface of the application and navigates through screens.

Test Manager – comes with a test manager suite that manages various test assets like test cases, test sets.

GUI Execution – executes the test cases using the application interface. It does not require any supervision or manual intervention.

API Execution – executes the test cases using the application APIs. The API execution does not require any supervision or manual intervention.

Test Reporting – provides a consolidated summary of test cases and their outputs.

Results Validator – validates whether the test cases produce the desired results.

Task Scheduler – automatically reads test cases from Microsoft excel and executes the test cases at a predefined time interval.

Data Extractor – builds the test cases by retrieving data from the application interface.

Data Publisher – publishes the test cases result to detect the management system of choices.

Audit Trail – monitors and tracks the test users’ activities.

Technology Agnostic – traverses across different platforms like smartphones, websites, etc.

Mobile App Testing – allows you to test iOS and Android application testing using devices and simulators.

Why choose Tenjin for Codeless Test Automation

The adoption of Continuous Integration/Continuous Development has changed how non-dev testers get involved in the software development process. The innovations in technology demand a solution that speeds up software development while offering a seamless customer experience. It requires a significant amount of investment in both quality assurance and application testing.

Tenjin codeless test engine is a robotic automation test suite that delivers accuracy, agility, and consistency. It is a test automation solution designed to address the complex needs of testing BFSI applications. It comes with pre-built adapters to allow quick integration with transaction process solutions such as Oracle FLEXCUBE, Infosys Finacle, Temenos, TCS BaNCS, and FIS. It is a low maintenance script-less robotic learner that brings uninterrupted operations and enhanced business performance with minimal effort.


Software testing is one of the fundamental processes of the software development life cycle. For increasing productivity and boosting the product release time to market, it is crucial to choose a solution that fits well in the existing workflow. Tenjin codeless test automation platform is one of the best tools in market that supports the end-to-end SDLC.

When to (and when not to) consider the same test-automation tools for different applications?

Test Automation Tool

Companies develop software products to stay relevant to the trend and offer seamless customer service. To ensure that the quality of the developed product is impressive, it is essential to carry out a strong testing process. Furthermore, with advanced mobile and web technology evolving every day, the need for test automation is constantly growing to deliver flawlessly working software products. Test automation has helped to automate mundane, repetitive tasks and led businesses to improve their ROI metrics.

The success of automation testing depends on the right choice of tools. It is important to evaluate the testing tools in the market as choosing the right test automation tool helps you achieve accurate results for your software testing. Testing a software is a time-consuming process but a critical one as it ensures the sustainability of your project in a long run.

Same test automation cannot prove efficient for a diverse application range as they have a different built and working structure. Let us discuss where the same test automation tool can be applicable for different applications and where it cannot be.

Criteria for considering test automation tool for an application

Application testing is a software testing process that is performed to find any faults in the software. This is an important procedure in the entire software development process as it reduces cost, maximizes ROI, and saves time and effort. Choosing the right test automation during application development is the most critical step. The selection of automation testing tools depends on multiple criteria as discussed below.

  • On a broader scale, the application development is differentiated into two extensive networks – core and edge, between them lies the workflow process. The core system handles the internal transaction processing of the company. They are large, slow to change, more data-oriented, and stable. Whereas edge systems are typically external-facing platforms with relatively lesser functionality but higher diversity of deployed eco-systems. They are smaller, more visual, and prone to rapid changes. Core and edge are designed to perform different tasks; hence, the same test automation tool for testing both application stacks might be sub-optimal.   

  • Similarly, application development also varies based on the industries. The software that can be used for creating e-commerce and lifestyle apps may not be appropriate for insurance and financial applications. Lifestyle apps are created to support an individual’s needs that define his/ her lifestyle, such as travel, fitness, food, music, etc; whereas finance apps connect with one’s bank account and help him/her track the expense, transfer money, pay bills, etc. With the entirely different utilities the two different apps offer; the software automation testing tools also vary. The same tool is applicable for similar applications like all lifestyle apps, all financial apps, etc, but using a single automation tool for all the apps may prove inefficient.

  • Your needs from a test-automation platform might vary across the SDLC or your product lifecycle.  Any product goes through three stages – infancy, growth, and maturity. The infancy stage witnesses rapid development and needs greater speed, while the maturity stage is more optimized and stable. The infancy stage testing is focused on development and speed, but the maturity stage may need to undergo regression from time-to-time to detect any fault in the previous stage of the development cycle. The automation tool used for the highly dynamic infancy stage of the software cycle may not be efficient for the stable maturity stage and vice-versa.

  • The difference also lies in the primary interface being used by the system, like the graphical user interface (GUI) and Application Programming Interface (API) among others. API allows communication between technology products whereas GUI allows users to interact with a computer application. The same testing tool will prove to be inefficient for both the applications.

  • In addition to these factors, the selection of tools also depends on the life of test automation, whether it is short or long. Here, the same tool cannot be used for processing and reporting, as processing forms a single-step process while the report is a multi-step process.

Multiple application solution for local systems

Business applications form the backbone of organizations as they are directly linked to the business profit. They possess critical importance in the success of a business as they are designed to satisfy the specific needs of a business. Hence, thorough testing of them becomes mandatory. Any fault will lead to poorly working applications and unsatisfied customers, which will eventually affect the brand value.

If a business is planning to implement multiple application testing solutions, it is important to choose a system that is with higher accuracy of AI. The AI-integrated system should be fed with all possible test scenarios for it to learn and execute. The system should have automation capabilities that should evolve and help in future transformation. 

Furthermore, there is a 3-way objective to evaluate when trying to install a new system in place.

  • Cost of building new test-cases
  • Cost of maintaining old cases (updating etc.) 
  • Cost of manual execution 

Here, cost should be measured in terms of $$ and time-to-market / turn-around-time.

Yethi’s multiple application solution

Yethi is a QA service provider to the banking and financial sectors worldwide. It specializes in all kinds of application testing ranging from core & edge, product lifecycle stages, industry-based application, and interface-based application testing. Yethi’s Tenjin offers testing solutions with cutting-edge technology that can ‘learn’ and ‘re-learn’ with minimal or no manual intervention. This codeless, auto-adaptive, agile test automation is perfect for enterprise application testing and also offers test automation for mobile applications.

Yethi Consulting offers an efficient test automation solution to banks and financial organizations across the world. The focus remains to improve the effectiveness of the organization’s core software system and ensure to increase agility, consistency, and accuracy.

Cards for corporates: Are banks doing enough to innovate? Why user experience is still nascent?

Cards for Corporate

Globalization is rapidly increasing and connecting the world economies as one. This growth has led to an increase in global business travelers like never before. To ease the expense management for companies and add convenience to the business travelers, corporate cards were introduced. Employees no longer have to spend out of their pockets for official expenses and wait endlessly for reimbursement. Corporate cards offer the freedom to handle authorized business expenses and allow employees to deal with official expenditures directly from the company’s account.

For corporate cards to work effectively, it requires a strong testing process to support the software development activity. Since the process involves sensitive data like money, card number, customer details, and company details, there is no scope for compromise on the quality of testing. Card testing is a critical process that needs to be carried out accurately and securely while maintaining all compliances.

Are banks doing enough to innovate the card payments?

Banks have seen a transformative change in terms of card innovation. The increasing competition between fintechs and other financial institutions have led to innovation in the banking sector. This came as a plan to attract new customers and retain the existing ones.

The payments are getting more flexible, encrypted, regulated, and secured which is making them increasingly ubiquitous and transforming the customer experience. The trend of payments is moving towards real-time transactions and utilizing advanced technologies like Cloud, AI, ML, and digital payments.

The recent innovations in banking/ finance:

  • Emphasis on digital approach
  • Supporting e-channels, e-wallets, and third-party providers
  • Real-time payment options
  • Geography-specific needs catered
  • World language supported
  • AI and machine learning integrated transformations
  • Approach to embrace the flexible Fintech business models

Even with the growing innovation, some unaddressed challenges by the banks/ financial institutions hinder their growth; they include:

  • Increasing competition by the fintech companies
  • Investigate peer-to-peer lending option
  • Noncard lending options
  • Unmet consumer demands
  • Lack of personalization in customer engagement
  • Slower adoption of new technology

The banking process aims to streamline and address all the challenges that lie ahead of a better user experience.

Why user experience is still nascent?

Today’s disruptive technology has made enormous changes in the way we use cards. Cards have evolved over the years; started with introduction of money withdrawal at the ATMs, swiping at merchant machines, and using it for online payments. Further, the introduction of corporate credit cards had been a big hit, offering ease of expense management among the companies.

Even with the greater options and flexibility the corporate cards offer, user experience still remains nascent. The reason user experience has not seen a steep growth is due to the lack of brand awareness, not meeting the customer demands, and not using cutting-edge technology.

Scope for improvements in corporate cards

  • Corporate cards are primarily used by companies for expense management, but it is important for the employees also to keep a track of their expenditure and check if they are spending within the specified limit. Such tracking needs a real-time, efficient app that works flawlessly to update the debits instantly, send notifications, and track the daily/weekly/monthly expenses. The user experience can, further, be enhanced with a responsive user design and efficient navigation system.

  • A greater customer experience can be achieved with an omnichannel transaction solution. Omnichannel payments refer to the mode of payments in multiple ways; for example, making payment using phone, web, merchant machine, or third-party payment apps. Though there has been a significant growth in providing omnichannel payments, there is a need to expand the payment options for the corporate cards to offer great convenience to the users.

  • To offer a great experience for card users, it is essential to incorporate the right UI UX practices. Only a responsive design and seamless user experience will keep the users happy and eventually help to retain them.

  • Credit card budgeting tools are perfect for tracking expenses. These tools connect with the financial accounts and tracks the transaction through an app. Emphasis should be made on creating credit card budgeting tools with great design and seamless user experience.

Why is card testing critical? What are the parameters involved?

The success of a corporate credit card lies in the accurate credit card testing process conducted during and after the development process. Without proper testing, the process would be chaotic providing inconvenience to the employees and incurring a huge loss to the company. The testing of cards involves various important steps to ensure that it works even under high loads without performance failure.

Key points involved in card testing:

  • The card should be tested to offer flexibility to work online as well as offline
  • Card testing ensures that the card works efficiently with the sales machine even during the offline payment
  • The testing should ensure that the payments are done instantly
  • It should effortlessly pass the payment confirmation message testing
  • Testing to check if the funds are properly received in the merchant account
  • Card testing must ensure that the payment confirmation is received
  • Testing should make sure that the payments are encrypted and secured

Corporate cards are evolving and transforming business objectives while offering better security and simplifying the payment options. Furthermore, the rewards, deals, and perks offered by the card companies are initiatives to attract more business owners, making it benefit mutually.

Since the process involves sensitive data like money, card number, customer details, and company details, the critical development process of card software need a well-planned, accurate, secure, and strong software testing process.

Why Yethi for credit card testing?

Credit card testing is an elaborate process involving functionality validation, functionality testingnon-functional testing, testing the performance, testing the changes and configuration, and reviewing the test reports. Yethi’s 300+ domain specialists have developed test strategy and business scenario/ test case review for corporate credit cards, for the esteemed clients.

Yethi is a niche QA servicer provider for global banking and financial companies. Yethi’s flagship product, Tenjin, is diminishing the operational gaps across key business areas of the BFSI industry. This simple plug-in platform is process-driven and offers seamless end-to-end testing. It delivers better software performing at a faster rate with nearly 100% accuracy. Our half-a-million test case repository for card testing comprises end-to-end test case scenarios for credit card payment through POS application and test the important details of cards like card number, expiry date, CVV number, AVS code, encryption, authorization, and settlement, and more helping you to fast track your product within your budget constraint.

RTA and RPA: Impact on financial institutions

RTA Vs RPA by Yethi

The current technology-driven era has embraced intelligent technologies, like Robotic Process Automation (RPA) and Robotic Test Automation (RTA), which have a significant impact on the banking and financial sector, thereby, reshaping the way they operate.

RPA and RTA are significantly being used in the highly dynamic and constantly evolving banking and financial sector. These robotic bots integrated process automation and test automation have helped organizations in the BFSI industry to achieve scalable, stable, and responsive models for greater accuracy and consistency.

RPA and RTA, which are often confused to be the same have little in common. With a fair amount of distinction, the outcome of RTA is not the same as RPA. However, as both streamline the operations and improve efficiency and productivity by reducing cost and time for development, often Robotic Process Automation is used instead of RTA.

The article highlights on how RTA is an ideal approach to speed up the automation testing process. RPA helps to automate a process by eliminating the manual execution of tedious, repetitive, and mundane jobs, while RTA significantly increases the process of regression testing by eliminating the necessity of creating and maintaining test scripts.

What is RTA? How is the financial sector benefitted?

Robotic Test Automation (RTA) is a revolutionary technology that has changed the ROI metrics of software testing based on a real-world scenario, by robotically generating, executing, and maintaining test records. Unlike RPA, where only automation of a particular process is carried out, RTA can be used to automate multiple processes all at the same time.

RTA eliminates the hassle of repeatedly testing the entire case by automating with a no-code or minimal code interface. Further, it removes the inefficiencies and time-consuming procedures involved in manual creation and maintenance of test cases. Automating test cases under this scenario will be beneficial as test automation can help in reducing the regression burden saving time and money.

In the highly complex and diverse banking and financial applications, the core software system has a high volume, sensitive data of various categories. These data-driven applications often tend to be highly volatile and require extensive validation, which if done manually can be time-consuming, expensive, and compromise on accuracy. RTA is the perfect solution for testing banking and financial software as it automates multiple cases and eliminates the bottlenecks associated with manual testing. Thereby, improving the test accuracy and reducing time for conducting the test.

Benefits of RTA:

  • Flexibility of working on multiple processes at the same time
  • Exhibits a distinctive configuration
  • Supports continuous testing
  • Minimal/ no code
  • Cost-cutting technology
  • Increases the productivity rate
  • Accurate and consistent

What is RPA? How financial sector is benefitted?

Robotic Process Automation or RPA is a software bot designed to mimic human behaviour and automate high volume, data-intensive, and repetitive tasks. It improves agility and reduces the complexity in the data-entry cycle, capturing data, triggering responses, and communicating with other systems; thereby, delivering error-free output and completing the task efficiently and effortlessly.

RPA is an advanced, robotic process integrated with Artificial Intelligence (AI) and Machine Learning, it is optimized for large volume of transaction entry for a limited process set. RPA documentation is primarily around process execution and process volumes.

Why RTA, not RPA, is the right solution for testing of banking and financial applications?

Even if RPA and RTA have robotic approaches, they cannot be confused to be the same. RPA is used to automate few processes that are repetitive and mundane for large volume of repetitive cycles, while RTA is used to conduct testing across multiple or all processes for a relatively lower volume of cases all at the same time.  Both are optimized for different use cases and therefore cannot be considered as supplementary solutions.

In the complex banking environment, a strong and resilient testing process is required that can offer 100% accuracy, agility, and consistency. RPA may fail to live up to the expectation when it comes to handling the complex, sensitive, and diverse system of the banks’ core software and often turn out to be inefficient to adapt to the changes. RTA, on the other hand, automates the testing of various test cases individually, and perform regression testing each time a change is made in the system.

RTA provides the opportunity to test the entire case at different levels of complexity, which cannot be easily performed by manual efforts. With the incorporation of RTA in place, banks/ financial institutions witness a drastic transformation in the core operations and improved profit margins, hence, slowly but surely it is becoming the right solution for the banks/ financial institutions.

Yethi’s robotic test automation tool, Tenjin, for agile and accurate solutions to financial sector

Tenjin, Yethi’s test automation tool, is an easy-to-integrate, codeless automation platform, which is designed to rapidly scan through the software and detect errors. This innovative platform works 3x times faster than any other automated testing system. It is designed for seamless integration across all operating systems, platform, and versions, and its plug-in and play simplify the testing process along with a comprehensive defect management system. Tenjin has the ability to test at various levels, conduct regression testing, perform shift left testing, and deliver results with speed and accuracy.

Yethi Consulting is a niche QA service provider who has helped banking/financial organizations globally with an efficient test automation solution. We work towards improving the efficiency of the organization’s core software system, thereby, increasing agility, consistency, and accuracy. Our revolutionary solution has taken the test automation to next level with an accuracy rate of nearly 100%.

Year in Review – Our 2020 Snapshot

yethi year in review 2020 highlights

In a year filled with challenges, we’re thrilled to have accomplished so much, from a stronger workforce to new clients, as highlighted in the snapshot below.

  • 10 new clients: In addition to our existing clients, we started working on new exciting projects with 10 financial institutions across the globe. 
  • 123 new members: Not a made up number! We welcomed exactly 123 new team members this year, most of whom were on-boarded and introduced virtually using MS Teams and other remote working tools.
  • 300 strong: Our workforce strength grew to about 300. For the first time, we worked completely remotely and from home. Although this was new and sudden, we were not only able to work in harmony, we explored new avenues.

Thanks to everyone for their continued support and contribution to Yethi’s growth. We are incredibly grateful to each client who placed their trust in us in such a trying year.

If you’re a financial institution planning to focus on technological innovation this year, whether it’s a Core Banking System upgrade or carrying out a new digital transformation exercise, drop us a message to know how we can ensure a smooth & secure transition with our Quality Assurance offerings.

All that you need to know about Cloud Testing


Digitalization is driving transformation!

In recent years, many digital platforms were developed to address user requirements, and innovation is still underway. Since we use the digital platform in every sphere of our life, technology and innovation will keep emerging. Just while we continue developing more digital platforms, we need to be confident about their performance and user acceptance. Testing becomes extremely important as it ensures that the software performance is top-notch, and end-users can reap the benefits of these applications. As digital platforms are evolving, so is testing. From manual testing to automation, the testing phase has moved further to Cloud testing.

What is Cloud testing?

Testing of applications using cloud computing services is known as cloud testing. Cloud testing focuses on faster availability while ensuring scalability and flexibility, and helps in saving time and cost, which is an ultimate requirement for software testing. The purpose of cloud testing is to check and validate the functional and non-functional requirements of software using cloud computing. Cloud testing allows testing of software over an internet-based platform and remotely provides many computing services like hardware, software, and other computer-related services.

Following are the main models of Cloud Computing,

Models of Cloud Computing

Types of Testing in the Cloud

The applications can undergo following types of testing in the cloud.

1. Functional testing

Functional software testing examines all the features and functional requirement of software. It also checks how software interacts with hardware.

  • System testing — Through this testing system’s compliance is evaluated for its functional and system requirements.
  • Acceptance testing — Acceptance testing ensures that an application can meet customer requirements.
  • Integration testing — This testing checks if the application is compatible with different platforms and works even when it is moved from one cloud infrastructure to another.

2. Non-functional testing

Non-functional testing in the cloud allows you to validate the non-functional features of software such as performance, usability, and reliability.

  • Security testingSecurity testing of application ensures that data is stored and transmitted safely.
  • Stress testingExecuting Stress testing help you in evaluating your application performance under excessive stress.
  • Performance testing — Performance testing ensures that the application performs correctly with various numbers of users, while cloud solutions should be scalable on-demand.
  • Load testingLoad testing helps in measuring software response time when the load is increased in system.
  • Latency testing Latency test allows you to measure the application response delay after deploying it in the cloud.

3. Ability testing

To verify whether users really receive application services on-demand, ability testing is necessary.

  • Compatibility testingAs the name suggests, the compatibility testing helps in evaluating the application’s compatibility with various environments and platforms.
  • Disaster recovery testingDisaster recovery testing helps in evaluating disaster recovery time and ensure that the application is available to users with minimum data loss.
  • Multi-tenancy testingMulti-tenancy testing verifies application’s ability to ensure the level of security and access control for multiple users in the cloud.

Benefits of Cloud Testing

Cloud-based testing is widely accepted over traditional manual testing. Here are the following reasons:

  • Scalability — Business requirements keep changing frequently. Based on these requirements, cloud computing resources can be increased or decreased, ensuring the scalability of the technology.
  • Time-efficient — Cloud testing allows you to run your applications on various hardware. Hence, testers have enough time to fix the bugs making the technology more time-efficient.
  • Cost-efficient — Cloud testing allows you to pay only for those resources, testing environment, hardware, and software that you might use.
  • Easy test environment configuration — Cloud-based tools allow you to set up a test environment on multiple devices, saving you time and money. It can also detect the errors during environment configuration across all devices.
  • Easily customizable — Cloud testing provides easily customizable options by using cloud-based tools and services. Testers can easily emulate an end-user-centric environment saving you time and money.
  • Ensure comprehensive testing — Cloud testing creates an all-device platform and configuration, eliminating the need for multiple devices and facilitating comprehensive testing.
  • Faster testing — Cloud-based testing tools enable software test automation reducing, time to the market. It has eliminated the need for having separate testing infrastructure while enhancing team collaboration and improving testing.
  • Continuous availability — Software testing is available to the testers anytime and anywhere to speed up their software development lifecycle with its continuous availability.
  • Improve team collaboration — Companies can improve their team collaboration by implementing DevOps in the cloud. The team collectively can try different configurations and data and automate testing processes using tools.

Four main categories of Cloud testing

  • SaaS testing in Cloud – Based on the application requirements, functional and non-functional testing is executed.
  • Testing using entire cloud – Based on the cloud features, where the cloud is considered as an entity, testing is executed by Cloud and SaaS vendors, as well as end-users.
  • Testing within a cloud – Cloud vendors can check internal features to carry out testing.
  • Testing across cloud – Utilizing different types of cloud environment, the testing is executed.

Cloud Testing’s Core Components

The testing is executed of these core components to ensure the following aspects.

Cloud Core Component


The expert team at Yethi understands the importance of testing across multiple devices and networks. As swift changes in digital environment redefine consumer and retail banking, we are providing exhaustive test-coverage throughout all aspects of digital transformation and application testing like Functional, UI/UX, Performance, Compatibility, Security, Geo-based and network testing, by enabling testing across multiple devices, OSes, and browsers,

With cloud testing, we ensure timely testing of digital and mobile assets by incorporating real-time testing of both native and hybrid mobile applications across multiple platforms, thereby eliminating delays and redundancies and saving time and money.

Test Automation Strategy to Achieve Product Development Goals


The full potential of test automation lies in a well-formulated strategy. As the demand for feature-filled applications rises, independent software vendors and organizations focus more on delivering reliable and efficient products within strict product delivery deadlines.

However, as more and more companies are adopting agile and DevOps methodologies making application development a complicated process, manual testing can no longer be relied upon. When it comes to ensuring the quality and functionality of the software while speeding up its market launch, automated testing is the only viable option. Some of the key strategies adopted by firms to ensure best use of test automation are given below.

Steps to set your test automation strategy

  1. Ascertain your goals

The first step is to determine a successful enterprise test automation strategy and find out which test to automate. The best example of test cases are the ones that run often, are time-consuming, requires an extensive amount of data to perform a task, can be tested over multiple platforms, and have a high probability of test failures and risk.

The first strategy for successful test automation is methodically planning it out and defining the scope and goals of test automation.

2. Preparing a test approach

The test approach influences testing practice in organizations. With test automation and agile methodology, testing is becoming an integral part of the software development process. Once the team finalizes and decides to adopt a specific test approach and determines appropriate testing levels, roles and responsibilities are assigned to the respective team members.

Deciding on the right testing method will provide the maximum value when automated. Different testing levels requires various testing methods. Below are some of the testing methods that can help you to achieve maximum values.

  • Unit Testing

In agile methodology, unit testing is an important test automation strategy as it yields high ROI. The developers can write, execute, and maintain a small piece of code in form of either function or method, which are used during unit testing.

  • Smoke Testing

Smoke tests verify and provide instant feedback about the system builds. It confirms that all complicated functionalities are working without errors and defects. For an efficient smoke test, a few manageable test cases should be selected to quickly execute the tests.

  • Regression Testing

Whenever new features and functionalities are implemented in software, it introduces new errors in the build. Regression testing allows checking these features repetitively to detect defects. Regression testing can be automated to reduce the burden, time-to-market and cost.

  • Component Testing

Component testing tests the comprehensive business value and does not focus on the quality or quantity of the entity. Component testing can be automated to reduce time and expenses.    

  • End-to-End Testing

End-to-end tests can be complicated. Hence, the testers need to select the right tools, which are easy to use, maintain and scale to ensure high ROI.

  • Integration/API Testing

The software development relies on API and SDK, hence validating the comprehensive application performance is critical. Integration and API testing confirm the system’s performance and stability with external systems. Automating frequently run API tests is important as some of the changed codes may affect the API functionality.

  • Cross-browser Testing

Running app’s test manually over multiple browser / operating systems / devices can be a time-consuming task. Automating the cross-browser tests enables you to run these tests quickly. It is proven that cross-browser test automation has increased the test coverage, reducing the testing time and effort significantly.

3. Selecting test automation framework

Writing and running tests is based on detailed guidelines like coding standards, procedures, test-data reporting and more, etc, which is known as test automation framework. Here is a list of test automation framework,

  • Linear Scripting

Linear scripting is the most useful framework. With record and playback features, you can record the steps in sequence and play it whenever you need them.

  • Library Architecture

Library architecture identifies, divides, and group common tasks. The functions are saved in the library and used whenever the test scripts are required to use them.

  • Modular-Based Testing

In this type of framework, an application is divided into separate units and the testing is conducted in the unit base. Each part has respective test script, which is later combined as merged tests.

  • Data-driven Test

The errors found in linear & modular-based, data-driven test overcomes it. It allows one to store data and access it from the external file to test the same feature with different sets of data, whenever needed.

  • Keyword-driven Test

Keywords are stored externally and are used to represent or test the GUI of an application. The actions are tested following certain guidelines and are usually separated from the test logic.

  • Hybrid Testing

The hybrid testing facilitates application flexibility and provides accurate test results.

4. Selecting the right tool

As a part of a test automation strategy, it is important to select the right testing tool. Selecting the right automation tool is based on an understanding of the technology upon which an application is built and test requirements of the Application Under Test (AUT).

One of the main aspects of selecting the right automation tool is to address the testing demands of certain kinds of applications. The right automation testing tool must be compatible with the platform and easy to use.

As the number of platforms grows, the automation testing tool to validate application performance across the platform must be wisely selected. An ideal test automation tool is the one that supports cross-browser testing and has the ability for maximum use of the test scripts.

5. Create and run the tests

The next step is to write and execute the scripts. The following are the steps,

  • The test cases must be written in a way that enables the testers to use it in multiple projects
  • To remove the redundancy, it must be validated to see if a similar type of case has been written before
  • The test cases must be written in such a manner that anybody other than a test scripter would be able to execute it
  • Based on the feature and component, the user must prioritize the test cases
  • The high-priority test cases must be executed first

6. Maintaining test scripts

Scrutinizing testing parameters is important for maintaining test scripts. Regression test may take more time for the applications, which are rich in features, resulting in the importance of test automation to wane out.

Maintaining the test cases plays a crucial role; hence test cases must be optimized and categorized. It allows evaluation of test case subsets, and clearly defines the purpose of test automation. Process of test automation becomes easier with smaller test cases.

Importance of a successful test automation strategy to achieve product development goals

Importance of test automation strategy is to help you achieve product development goals. Finalizing test automation strategy helps in,

  1. improving test accuracy – Test automation improves accuracy by reducing human errors, which occurs in manual testing
  2. saving time and effort – Test automation reduces time and effort by delivering results faster
  3. offering test coverage – Test automation improves software quality by expanding the depth and scope of testing and ensuring a thorough examination and investigation of various software features
  4. increasing test case efficiency – Test automation improves test case efficiency by making slight improvements during the testing phase of software development cycles so that the product could be launched in the market on time
  5. Reducing maintenance cost – Test automation allows you to change and update testing methodology, reducing maintenance costs
  6. increasing the speed of the test execution – Test automation allows test experts to focus on more challenging, case-specific tests while executing redundant and lengthy test cases
  7. reducing manual intervention – Test automation can run with minimal manual intervention, which can be long, prone to errors and tedious
  8. analysing involved risks – Test automation analyses involved-risks delivering accurate results within the stipulated time


Having a successful testing strategy and framework can impact your business and organization in many ways. Test automation encompasses more comprehensive testing allowing you to accomplish complicated test automation tasks easily. A right automation strategy promotes the reused cases of critical components and improves employee productivity. The test automation strategies help in understanding business objectives and defining the product development goals.

Yethi’s well-managed Test Centre of Excellence can efficiently handle the test resources and infrastructure while ensuring the quality of applications. We help you meet your business objectives and product development goals with our test automation strategies.

Our proprietary 5th generation codeless test automation tool – Tenjin is an intuitive automated test suite. We have a test repository of 450k+ test cases, which help us to offer you high test coverage throughout all aspects of digital transformation and application testing like functional, UI/UX, performance, compatibility, security, geo-based and network testing. This smart tool blends with all test automation framework facilitating end-to-end testing like unit, regression smoke, integration, cross-browser and many more.

Importance of Data in Test Automation

Importance of data in automation testing

Software development comprises of phases like gathering requirements, building, and testing the software followed by installation. In the development phase, the software may be exposed to all possible bugs and defects owing to human errors or technical glitches. Testing helps in detecting those errors and execute testing without any technical issues to ensure an outstanding customer experience.

A thorough software testing means checking all the components and elements of applications. The testing phase also includes all possible test case scenarios to extract accurate information and design the test cases considering the requirements. There can be a severe impact on the overall test process based on the type of data we select for test cases.

What is Test Data, and why is it necessary for testing?

To prepare test cases for software testing it is essential to select the right set of data. Test data is the data which are used to test the quality of the software systems. There are many ways to get the most appropriate test data for application testing. A skilled tester will be capable to source or produce test data to execute software testing to validate software performance and compare the desired results with the outcome.

Likewise, when we need the right set of data to evaluate quality of the software, we may also need data to test negative scenarios. Carefully choosing data will help in avoiding unexpected, unusual, and extreme results. If users enter the wrong information, the test case scenarios, which have been prepared out of most relevant data will continue to provide the most apt search result.

The production test data works best with a proper simulation of the real system during the testing phase. Ideally, both production data and synthetic data are used for testing, but in certain cases, production data is masked before using it for testing.

Why data is the key to test automation?

  • Test Data serves as the input, which is mandatory to test the application
  • Feeding the test data helps in validating the output if it is correct
  • Test Data selection helps in verifying different scenarios in testing
  • The test results are based on the inputs we feed in the system
  • Test Data is useful for the users to define the outcome
  • Test Data enable developers to track issues during the fix
  • Test Data confirms that applications provide expected result based on the input
  • Test Data allows you to be focused on systematic ways of feeding the data to the system
  • Test Data aids the tester to record the test case for future reference and data re-use

Types of test data and their importance

  • Valid Test Data:

Valid Test Data are supported by the application and helps in verifying the system functions and receiving an expected output whenever input is provided.

  • Invalid Test Data:

Invalid Test Data ensures that the application is working correctly. Including unsupported data format when these invalid values are provided for testing the application shows an error message to notify that the data is improper to function.

  • Boundary Test Data:

Combining the boundary value of an application, this type of data helps in removing defects that are connected while processing boundary values. However, these data are enough to handle applications. If the testers violate the process, then it may break the application.

  • Blank or Absent Data:

The files that do not contain any data and help in verifying the application response when no data is entered into the software is called blank or absent data.

Different ways that the test data are prepared:

  • Manually creating test data:

This method of test data generation is the simplest. It includes valid, invalid, null, standard production data, and data set for performance. It takes a longer time to generate test data manually with less productivity. A skilled testing team can create this test data without any additional resources. Lack of strong and in-depth technical knowledge, the testers would generate data with errors.

  • Using back-end data:

Back-end data generation helps in using back-end servers with a database and procure the data quickly. In this method, the need for having front-end data entry is removed. There is no need for technical expertise to create backdated entries. However, if the technology is not implemented, it might have an impact on the database and application.

  • Automated Test Data Generation:

Automated test data generation is most suitable to achieve excellent results with a high volume of data. The benefits of this kind of report generation are that a high volume of data is obtained at high-level speed and accuracy. The speed of delivering output is fast without any human intervention. 

  • Using third-party tools:

Using third-party tools makes it easy to create and extract data in the system. These tools have complete knowledge of the back-end applications and are built with a purpose to procure the data real-time with high accuracy. The test cases are built for future references that enable to execute test cases based on previous test case scenarios with accuracy and speed.

Challenges of test data sourcing

  • Accessing tools for achieving data sources can be an issue if the testing team does not provide permission to access the link. 
  • The lack of adequate and right tools can pose a challenge to source the test data.
  • The defects or bugs need to be identified at the earliest to run the testing for the software.
  • The testing phase may run for a longer time as most of the data are created during the execution phase.
  • Not all testers are skilled enough and have in-depth knowledge to create alternate test data solution for test data management.

Ways to control test data

Test data determines whether it is working as per expectations. Following are the ways to control test data: –

  1. Discover and understand nature of test data
  2. From multiple data sources extract a subset of production data
  3. Mask sensitive test data
  4. Compare the expected with actual result and automate the results
  5. Finally, refresh the test data


Yethi’s team consists of experienced quality assurance professionals exclusively focused on the BFSI industry. We have in-depth knowledge of the domain and technology systems supporting it. We help many marquee organizations to achieve their business objectives within the stipulated timeframe, without compromising on quality.

Yethi’s flagship 5th generation codeless test automation tool – Tenjin is an intuitive automated test suite. We have a test repository of 450k+ test cases, which help us in providing cross-platform testing across multiple devices and networks with high test coverage throughout all aspects of digital transformation and application testing like functional, UI/UX, performance, compatibility, security, geo-based and network testing. This smart and intuitive tool can switch between API’s and the GUI, making it a perfect testing tool for regression testing in open banking applications.

Automate Cross Browser Testing

Automate Cross Browser Testing

Developing applications for banking and financial sectors is essential, as it enables organizations to meet their customer needs and expectations. The Covid-19 pandemic has accelerated the process of digitization and rollout of new digital applications.

A developer does not just develop an application and release it to the market. Considering its use and relevance, they need to test applications at multiple levels. One such test is Cross Browser testing that allows the development and testing team to ensure that the application or software functionalities remain same or are easily adaptable to each type of environment whether it is a web-based or mobile-based application.

What is Cross Browser testing?

An application is developed based on consumer’s requirements. To be able to access applications across multiple web browsers is the first criteria. Cross Browser Testing is the process to verify the application compatibility across multiple web browsers. Cross Browser Testing is done to check performance of applications across various web browsers, devices, and platforms.

It plays an important role in ensuring superior performance and compatibility of the software on available range of browsers, devices, and operating systems. Through Cross Browser Testing, business owners make sure that the end-user expectations are met across different web browsers and the application is compatible enough with multiple browsers for obtaining stable business.

Types of Cross Browser testing

There are two types of Cross Browser testing:

  • Automated Cross Browser Testing
  • Manual Cross Browser Testing

Why do you need Cross Browser Testing?

Cross Browser Testing ensures that performance of the software is outstanding across all browsers, devices, and platforms, and end-users receive similar web-experiences on different platforms. If there are any differences specific to browsers, Cross Browser Testing can identify and overcome them. As users browse content on various devices, it is essential to have uniformly excellent user experience across different platforms.

The manual Cross Browser testing and automated Cross Browser testing have their benefits and different processes to be implemented.

Benefits of Automated Cross Browser Testing over Manual Cross Browser Testing

Manual Cross Browser Testing is a slow process and can be extremely time-consuming when it comes to testing multiple functionalities across different web browsers, devices, and operating systems. The manual process in this case will not be able to live up to the expectation.

Automated Cross Browser testing allows you to create automated test scripts, run the tests and compare the actual results with expected ones. It is exponentially faster compared to manual Cross Browser testing. However, automated Cross Browser also requires creating initial test scripts manually, thereafter the process is fully automated. These test scripts can be executed multiple times across various browsers. To complete the Cross Browser test execution process in minimal time is the main objective of automated Cross Browser testing.

There is a greater dependency on automated Cross Browser testing as it has reduced the human efforts in testing web applications by more than 70%. While 30% manual effort is still required for selecting an efficient automation testing tool, writing the initial testing scripts, and then performing the test execution using those automated scripts.

The benefits of automated Cross Browser testing are:

  • It saves time and money by choosing automation testing for running repetitive tests of an application over various browsers, devices, and OS platforms. When you are running repetitive tests repeatedly and daily across different platform, automated Cross Browser testing is an ideal option.
  • The existing test cases can be reused multiple times, whenever a new code is introduced in the software or some changes are being made. As a chunk of test cases are executed repeatedly, automating regression testing becomes extremely important. Every time new functionality is incorporated in software it requires to go through regression testing. Automating regression testing saves time and effort.
  • While testing a web application, one needs to consider multiple scenarios including UI tests, field-level validations, module-wise functionality and more. Based on the type of scenarios, test cases could be long or short and could have a high impact on Cross Browser testing. Test scripts that are developed using the automation tool can be efficiently used for regression testing allowing for better test coverage through automation testing.
  • The manual process of Cross Browser testing is not accurate and is less reliable. As test cases are executed by multiple testers, there can be errors. Automation testing allows you to execute similar test cases multiple times without any errors maintaining accuracy even while dealing with complex functionalities.
  • Testers can pick their preferred language while creating automated test scripts.
  • Automated Cross Browser testing allows you to detect bugs quickly as multiple test cases are executed within a few hours. Since automation facilitates fast test execution, there is ample time to detect and fix bugs.
  • Automated Cross Browser testing allows you to utilize your resources effectively and efficiently. The need for resources to execute test cases is reduced, eliminating the need for resources.
  • Automated Cross Browser testing allows you to execute the same test cases multiple times across different browser combinations.

Conclusion –

Yethi’s flagship 5th generation codeless test automation tool – Tenjin is an intuitive automated test suite. We are led by a team of functional experts, who can conduct testing without relying alone on technical resources. We help our clients achieve their business objectives within the stipulated timeframe, without compromising on quality.

We provide cross-platform testing across multiple devices and networks with high test coverage throughout all aspects of digital transformation and application testing like functional, UI/UX, performance, compatibility, security, geo-based and network testing. Agile, granular, and multi-system test capabilities, Tenjin can interact with multiple applications through APIs. This smart and intuitive tool can switch between API’s and the GUI, making it a perfect testing tool for regression testing in open banking applications.