Test Automation and Monitoring: The Key to Building Consumer Trust

The key to building a successful business is meeting consumer requirements and gaining trust. There is no place for error in the modern competitive digital landscape, or even if there are, consumers expect them to be resolved at a bullet speed. Businesses must sustain their status quo with massive expansion in the economic landscape. Whether normal circumstances or difficult scenarios, customer relies on organizations to manage their transactions and data.

Let us consider the financial and banking sector for instance: as they thrive highly on customer reputation. Many banks and financial institutions have faced the consequences of going wrong with their digital services and platform. In fact, a research paper from 2017 titled Banking System Trust, Bank Trust and Bank Loyalty highlights that the implications of losing trust in banks are significant. This paper also highlights the six determinants like competence, stability, integrity, customer orientation, transparency, and value congruence as the catalyst to restoring consumer trust and loyalty towards the services that banks offer.

Consumers’ behavior changes towards banking services when they are confident about the brand and services. Trust is the most critical factor in a consumer-bank relationship. Consumers want the BFSI sector to be dependable, transparent, and approachable. To minimize the negative impact on consumers, banks must re-establish themselves as trusted advisors and providers of assistance. But it is not just the word of mouth that is impactful; it must be backed up with services that include manual assistance and system responses. Banks and financial institutions are adopting automation testing and continuous monitoring of systems to ensure bank representatives offer their services quickly, efficiently, and effectively.

Why Test Automation?

Banking has always thrived on customer loyalty and in-person interactions. Its transition to the digital realm will benefit consumers and financial institutions.

Waiting in lines for banking hours and squandering Saturdays going in and out of banks are now a matter of the past. Digital banking allows you to access your bank accounts quickly and easily from any location using your smartphone. Banks are spending less on infrastructure and saving their operating costs with digital banking.

With the advent of digitalization, banks must focus on delivering a positive customer experience at every touchpoint. A robust testing framework is vital for delivering a superior customer experience. Test automation is critical to the success of digital testing projects.

Consistent integrations, set up with automated tests and continuous monitoring, can substantially reduce the testing life cycle. These test automation strategies are required for banking institutions to successfully navigate the digital upheavals.

Through rigorous automated testing of a banking software program, a financial organization can ensure:

  • Accurate execution of activities while effectively shielding the personal data of clients
  • Following all financial guidelines strictly
  • Enforcement of all legal norms and guidelines
  • Effective transaction management without disruptions, especially during peak hours
  • Preventing fraud and cyber-attacks, making the banking application safe to use

Test automation indeed reduces time in the testing lifecycle phase, but test execution has two critical steps; one of those steps is test monitoring. Test monitoring helps evaluate all testing activities and efforts. Continuous test monitoring tracks the ongoing process and testing metrics, assessing future actions based on test data and highlighting the feedback based on the progress of the testing process to the concerned team and the shareholder. Test monitoring validates if the test process produces the desired result. Let us explore the effects of test automation and monitoring over banking and financial platforms in the light of the six determinants of ensuring consumer trust and loyalty.

  • Competence – Test automation and monitoring evaluates system competency to offer high quality service and response to the customer request.
  • Integrity – Test automation and monitoring ensures system performances as intended to function without any disruption.
  • Customer orientation – Test automation and monitoring prepares your systems to address customers’ needs.
  • Transparency – Test automation and monitoring allows companies to maintain a transparency of the transactions and trades.
  • Stability – Test automation and monitoring ensures system stability and performance even during high traffic or during unforeseen events of performance failure.
  • Value congruence – With test automation and test monitoring companies prepares systems to exhibit positive work outcomes. It ensures direct, positive effects on customer satisfaction, trust, affective commitment, and customer loyalty.

Improving quality with robust testing to build consumer trust

Through effective automated tests and continuous monitoring strategies, you can improve the reliability of your core banking systems and can significantly reduce costs.

1.        Automated tests save time and money

Software tests are repeated several times during development cycles for quality enhancement. It is conducted every time a source code is altered or modified on every hardware configuration and operating system. Manually repeating these tests can be highly time-consuming and expensive.

Automated tests are convenient in such circumstances because they may be run repeatedly without incurring additional costs. Automated tests can take hours instead of days to complete these repetitive checks, providing customers with qualitative service whenever they want. It is a time-saving benefit that also saves money for banks.

2.       Increase in test coverage

Continuous monitoring, backed by automated testing, leads to an expansion of the scope of the tests, which improves the software program’s quality. Lengthy tests, which are frequently avoided during manual testing, can be efficiently conducted via automated testing.

The tests can successfully run on multiple computers at the same time with distinct configurations. The performance and quality of banking software can be tested through automated tests that display data tables, memory contents, status of the internal program, file contents, and so on. By executing numerous complex tests throughout the test runs, automated tests can expand coverage in a manner that manual testing cannot.

3.       Improvement in testing accuracy

Even the most skilled testers can make mistakes while performing manual testing. The use of automation testing, however, results in identical procedures being performed in a precise manner and the results being recorded in extensive detail. This leads to improved banking software providing customers with better service.

4.       Avoid errors of manual testing

Automated testing can simulate numerous concurrent digital users interacting with web, software, and network applications. Customers benefit from this by being able to use the banking software for their needs in a hassle-free manner with minimal to no delays caused by network issues or internal errors.

5.       Boon for testers and developers

Automation tests provide several capabilities that help developers and testers save time. Developers can quickly identify troublesome areas of software through automation tests and focus on resolving the issues. Automated tests can run by themselves every time the source code is modified, and they can notify the team in case of failure.  With the additional time, developers may concentrate on creating more specialized software to improve the customer experience.

6.       Improved morale of the development and QA team

Manually performing repetitive testing tasks can take much time and get monotonous for testers and developers, limiting their creativity. Automation testing frees up time for the development and QA teams to work on more challenging and profitable projects. This boosts the team’s morale and confidence, which favours the organization.

Conclusion

The digital era has inextricably linked banking and test automation. The automation of the BFSI sector, which involves RPA (Robotic Process Automation) and RTA (Robotic Test Automation), AI (Artificial Intelligence), Traditional Automation, and so on, has led to the development of an efficient and sustainable economy. Automation tests generate standardized audit trails, allowing financial institutions to adhere to industry standards while incurring minimum expenses.

Test Automation in banking is relevant to address today’s needs for high-quality customer experiences and agility. Excellence in test automation is essential to encourage continuous innovations and speedy rollouts of new banking services and products to customers. Banks are quickly rising to the challenge and implementing automated testing programs to save time, increase employee productivity, and enhance customer experiences while fostering trust and loyalty.

Yethi blends the testing services and test automation solutions to help the banks and financial institutions on their digital transformation journey. We focus on improving the quality and efficiency of the organization’s core software system. We are a niche QA service provider helping several global banking/financial organizations increase the agility, consistency, and accuracy of the platform.

With our efficient codeless test automation solution, Tenjin, we have taken the test automation to the next level with an accuracy rate of nearly 100%. It is a revolutionary solution, which is easy to integrate and rapidly scan through the software and detect errors. Its intuitive features empower banking and financial solutions to work 3x times faster than any other automated testing system, while the simple plug-in and play design enables easy integration. Tenjin is developed with a focus on continuously helping banks and financial institutions across the globe to build a robust and resilient testing process.

Shifting to UI Automation Testing

As the digital space is evolving at a tremendous speed, the use of digital devices has also witnessed immense growth. Digital devices like laptops and mobile phones have become a significant part of our daily lives with almost 80% of the world population using them. Hence, when an application is developed, either mobile or web, it should offer a great user interface (UI) as it forms the first point of contact with the end-users. If the app fails to create a first great impression, chances of the users not exploring the other parts of the app becomes high. This is one of the reasons why organizations are investing in UI testing to ensure they offer a seamless user experience. UI testing which was earlier conducted by the manual approach has now shifted to UI automation for better outcomes.

UI testing automation increases brand value, reliability, and time-to-market while reducing cost. Moreover, the process of execution is easier, more efficient, and less time-consuming when it is automated. Let’s understand UI automation better and explore its benefits and future scope.

What is UI Automation?

User Interface is considered to be the face of an application that creates the first best impression among the users. If the UI fails to connect with the end-users, it can completely break the brand. Hence, it is important to test the UI thoroughly to offer an exceptional user experience. Manual UI testing is often found to give inconsistent results due to its tedious nature. However, shifting to UI automation has proven to give accurate and consistent results while saving on cost, time, and effort.

UI automation is basically the automated process that is conducted to test if all the parts of an application’s front-end work as expected. UI automation testing provides an elaborate report on the end-user interface performance by checking if the application is running correctly and keeps a track of simple interactions or by simulating real user requests. Here, the test scripts are written to automate the execution of the tests. This technique allows the process to be controlled through software code instead of testing it manually.

Why should you consider UI Automation Testing?

The UI automation testing process is conducted to effectively test the application’s interface for its features and performance. It is often considered an end-to-end approach to testing as it can:

  • simulate and test the behavior of the application’s users by acting on the computing system’s interface with simulated user input
  • automate all testing operations for the software programs
  • incorporate user interface testing into the development process
  • can submit test results and generate reports.

Benefits of UI Testing

Benefits of UI testing includes:

  • Automated tests are useful for teams running on agile software development workflow as good test coverage rates can be achieved by it
  • Well-tested code makes it easier to find and fix bugs faster
  • Once the automated tests are set up, they can easily be reused; this makes the whole process cost-effective
  • Automated tests run multiple folds faster than manual ones
  • Automated tests are more accurate than manual testing.
  • Human errors can be easily avoided in automated testing
  • They’re cost-effective and time-effective

Why is there a shift to UI Automation?

Developing a product can be challenging and it isn’t always easy to determine the best way to test the developed product. Testing is a crucial part of the entire product deployment cycle as it ensures the quality of the product is top-notch before it reached the end-users. Though there are manual and automated testing processes, it is important to understand both of them before you decide to choose the one that works for you.

Manual UI Testing

In manual UI testing, testers prepare test scripts manually and run individual UI scenarios inside the application. It involves scripting actions or inputs that lead to specific outcomes in order to verify a user’s experience. Since it requires a lot of manual effort, the process gets mundane and tedious giving rise to errors. This is a cumbersome process involving a significant amount of time and effort.

UI Automation Testing

UI automated testing is a valuable tool when it comes to developing software tools or applications. This type of testing relies on pre-programmed scripts that are frequently called tests or test cases. These tests tell the program what to expect under different UI circumstances. Automated software testing provides a repeatable process that allows developers to thoroughly cover every part of their codebase. Automated testing can work with each iteration to determine whether certain elements in an application need attention or revision.

Why UI Automation Testing over Manual Testing?

  • Manual testing takes time and cannot keep up with several development cycles, while automation can effortlessly identify errors without human intervention
  • Manual testing is time-consuming and expensive, while automation testing involves lesser time and effort
  • When conducting repetitive tasks, manual testing is more prone to errors due to its mundane nature. Automation, on the other hand, minimizes the likelihood of such errors
  • When executing complicated iterations, manual testing is difficult to rely on. However, automation testing offers accurate and consistent results under all circumstances

UI Automation Testing Tools

UI automation testing is a complex task, which depends highly on the tools and techniques that are used. Though there are plenty of tools available in the market, one cannot simply rely on a random tool. Proper research can help one to pick the best tool for automation testing based on their requirement, which will make a difference to the project in the long run.

Here are some key points to consider while comparing automated UI testing tools so you can make the best selection:

  • Building and maintaining test scripts is straightforward
  • Allows seamless entry of huge amounts of test data during load testing
  • Non-technical people may easily execute test suites
  • It offers an extensive reporting facility
  • All UIs are supported – web, desktop, smartphone etc.
  • For versatile test script development, a wide range of languages is supported
  • For automated builds or deployment, seamless connection with other tools inside the CI/CD pipeline is expected
  • Easy maintenance
  • Modifications to pre-existing scripts are simple to implement
  • The ability to test complicated user interface elements
  • Affordable pricing

Conclusion

Test automation is a way to quickly and efficiently ensure that the user interface of the application is performed throughout the entire testing cycle. Although setting up automated tests might require extra effort at first, it is proven to be easy and effortless in the longer run.

UI testing forms an important aspect of the overall software testing process. A good UI will help retain the existing users and provide scope to attract new users too. An impressive UI will help the organization to build brand credibility, create a loyal customer base, and generate good business revenue. Hence, automating UI testing will help organizations to improve their business like never before.

Performance Testing in Agile Environment

Performance testing is a critical part of any testing strategy as it indicates the maximum user load the system can process, thereby, helping to mitigate the associated risks. It won’t be wrong to state that good performance of the application alone can help you stand out in the market. With the increasing focus on performance, organizations are moving their testing strategy from traditional approach to agile methodologies for creating successful products.

Conducting performance testing in an agile environment has its own benefits. Agile environment improves the application performance testing by executing tests on continuous integration and continuous delivery simultaneously, which is otherwise difficult with the conventional approach. It helps organizations develop higher quality software in less time while reducing the cost of development.

What Is Performance Testing? The Need to Test It in Agile Environment

With the increasing trend of digitization, the use of websites and mobile apps is increasing. Popular apps and websites like Netflix, Google Pay, etc., have millions of users all at the same time. The load created during the peak traffic period is immense; in case, the system fails to keep up the load, it can disrupt the business. To ensure that business continuity is uninterrupted while offering a seamless customer experience, even during unrealistic traffic, performance testing is conducted. Performance testing creates reliable software applications with great speed, stability, scalability, and responsiveness. It is one of the important criteria directly related to the user experience.

Organizations are adapting to creating new software in agile environment to improve the process, promote change, and embrace innovation. The agile environment offers a flexible space for the organizations to improve the process by emphasizing on the working software, developer/testers, customer collaboration, and responding to the changes. When performance testing is carried with the agile approach, it helps to deliver quicker results with better ROI.

The prime approach of using performance testing in an agile environment can be understood by considering the complete software development project. Moreover, the automation test scripts to run performance testing lets the organizations develop high-quality software in a lesser time frame with reduced developmental cost. It mainly focuses on testing the performance in the early stage of development and testing. Looking at the advantages offered by performance testing in an agile environment, performance testing gets consideration in the complete agile SDLC process. It also helps in testing the application behavior under heavy load.

Critical Considerations for Running Performance Testing in Agile Environment

When conducting performance testing using agile testing methodology, the application testing is conducted in smaller cycles. As a result of this trend, with every iteration, the application gets better than the previous release. The process is streamlined and also allows making any further change or addition of new requirements anytime. Key considerations include:

  • Having a clear vision of the expected result is critical. Having a clear context set for the project will help you determine the further requirements such as building architecture, implementing new features, setting the timeline, and determining the scope of performance testing
  • Determining the reason for performance testing by observing the trends in resource usage, checking threshold, responsiveness, and collating the data to plan for the required scalability
  • Creating a strategy to incorporate performance testing value additions like integrating external resources, emphasizing on the concerned areas, checking the load range etc.
  • Deciding the tools and resources to be used for syncing up with the test environment
  • Identifying and executing the tasks are of highest priority criteria to decide the performance of the system
  • Another important consideration involves creating and analyzing the report to check if the outcomes are as expected

Resolving Performance Issues in Agile Environment

To get maximum efficiency under an agile environment, one should identify and resolve the performance issues in the base code to avoid further bottlenecks. There are three stages to consider while resolving performance issues:

  • Optimization: Tests should be implemented at the base level to avoid issues at a later stage
  • Component Testing: It removes defects at the application component level
  • App Flow Testing: It helps to test app flows that determine the UX consistency for varying loads

Different Factors That Affect Performance Testing Within Agile Environment

A performance tester gets involved from the beginning of the sprint so that quality products can get assured by the end of the development cycle, and delivery within the estimated timeline. Below are the different factors affecting the performance testing process:

  • Non-availability of trained resources for critical projects
  • Unavailability of flexible tools for performance testing
  • No prioritization of performance testing to take care of performance defects
  • Performance testing criteria might not be planned for every sprint in the case of some agile projects

Advantages of using Performance testing in Agile Environment

Performance testing in agile Environment has proved to be helpful for all organizations; its benefits include:

Capacity Management: It helps determine if the current hardware can handle a specific amount of traffic by identifying the capacity and size of the server required. It also helps in saving the investments made on private Cloud.

Testing Speed: It can be determined by mimicking the multiple scenarios and then testing the reactions of all those paths under different situations. In this way, all the significant flows and the user journeys can get tested for an application, even the unknown cases.

Increased Team Efficiency: Agile follows detailed planning and documentation, which can help in making the development process efficient and faster. It also helps in fixing the issues at a very early stage during development.

Competitive Advantage: These days, the end-users have a low tolerance for performance issues and bugs. Performance testing proves to be helpful in having a higher retention rate and demonstrating the company’s competitive advantage.

Yethi’s Performance Testing to Offer Seamless Experience

Yethi is a QA service provider to banks and financial institutions across the world. Highlighting Yethi’s performance testing process, our test automation tool, Tenjin, conducts the test efficiently to eliminate any performance issues and ensures that the application works at its best. It monitors and handles the test to check the response time, speed, scalability, and resource usage under the standard workload, thereby, creating a robust and scalable system that works without any disruption.

Yethi has helped several global banking/financial institutions with an easy and efficient test automation solution. Our revolutionary solution has changed the course of test automation by providing nearly 100% accuracy.

Testing & Quality in Continuous Delivery, DevOps, and Observability

In today’s fast-paced world, development and deployment must go hand in hand to ensure timely delivery without compromising on quality. To support this modern application development approach, continuous delivery is implemented, where the code changes are automatically prepared and deployed for production. But often, when the development and operations are not managed well can lead to failure in the production of the application. To resolve this issue, DevOps comes to the rescue, it eliminates the conflicts and creates the perfect environment for building sustainable applications.

Deploying DevOps models is an integral part of the process that accelerates software deliveries while assuring a high-quality deliverable. To streamline the entire process and understand the success or failure of the process, it is important to establish continuous monitoring and observability. The observability process allows to collect the metric and decide on the next actional steps to be taken. Hence, DevOps and observability are essential criteria when it comes to testing and maintaining quality in the continuous delivery pipeline.

DevOps test strategy: The need for continuous testing in continuous development

Organizations are adopting the DevOps approach to develop software that streamlines the entire software development and delivery lifecycle. DevOps strategy involves implementing agile practices of continuous integration (CI) and continuous delivery (CD) to ensure an easy and efficient result. The introduction of continuous testing verifies the operational structure, detects errors early, and resolves conflicts as soon as it is identified.

The goal of CI/CD and the associated continuous testing process in the DevOps methodology is to evaluate and eventually improve the quality of the process. Here, the testing, operations, infrastructure, QA, DevOps, development, and testing are interconnected. The effectiveness of the final result depends on these parameters.

How implementing continuous testing helps in the continuous delivery pipeline

  • It helps detect defects earlier, which eventually allows the company in reduced cost and improve quality
  • Continuous testing in quicker deployment
  • The automated testing system helps reduce the manual effort and improves the consistency and accuracy of the end results considerably
  • Since the testing starts at the early stage, it ensures a better test coverage
  • With better coverage and accuracy, application-related risks can be mitigated quickly
  • The transparency of the test results helps the developers to improve the software by implementing different techniques

As a part of the testing strategy, organizations are also investing in good DevOps tools. Some famous DevOps tools can be version-controlled source code managers like GitHub, GitLab etc. Organizations can also consider CI/CD pipeline engines to validate and deploy the application to the end-user during the development lifecycle. Using integration and delivery tools are a great help to solve problems.

For example, Cloud environments allow using Cloud resources to automate the deployment. As-a-Service models like SaaS, PaaS, IaaS allow the set of required resources to flawlessly generate code, test the code, and maintain the code.

Monitoring the progress is also a significant part of the development cycle. The code creation and security checks are significant parts of monitoring.

The need for observability in the CI/CD pipelines

The evolution of workflows to CI/CD approach is carried out in the advanced DevOps environment has proven to improve the quality by multiple folds. However, as the advancement progresses, they get associated with a new set of challenges. In order to mitigate any known or unknown risks, it is important to carefully analyze and control the process. The analysis metrics will help the teams to measure the success rate; this is done by implementing Continuous Monitoring and Observability process.

Advantages of continuous monitoring and observability

Vulnerability checks: When a new code is introduced in the system, it is essential to check what security vulnerabilities it can cause. It is important to implement constant observability to check the way the code is performing, any data leaks, or unauthorized activities. Continuous monitoring and observability will have a check on all possible threats and keep the team prepared to mitigate any kind of risk.

Understanding future trends: By implementing constant monitoring and observability, the organization can analyze the infrastructural and operational gaps. The metrics will help the organization to understand the future scope and build a solution to resolve the issue.

Reviewing the analysis: Continuous monitoring and observability allows the developers to have an elaborate result of the working of the system. Any discrepancy can be easily identified during the general observability process and given an opportunity to fix them before deployment.

Long-term analysis process: A similar QA process may not be feasible for testing different workflow systems. Hence, we cannot conclude the working of a certain process as a success or failure. On implementing a continuous monitoring process over a longer period of time, the process can be reviewed based on the data.

Ways to implement monitoring and observability

By implementing Monitoring and Observability in the production environment, the following can be achieved.

  • Help in getting prior indications regarding service degradation or outage
  • Easily detect unauthorized activities and bugs to resolve at the earliest
  • Identification of long-term trends is crucial for an organization. Monitoring and observability help organizations to find trends for business purposes and planning
  • It will help the organization to know the unexpected side effects of new functionality or changes.

Why is Yethi your perfect QA partner?

To achieve long-term success, installing tools is not sufficient, you need new ideologies and continuous support to succeed. Yethi is your perfect QA partner for helping you achieve your business goals. Having helped more than 90 customers across 18+ countries, we have emerged as one of the leading QA service providers in the BFSI industry.

Our test automation platform, Tenjin, is a 5th generation robotic platform that has a simplistic plug and play design. It can offer high test coverage with an end-to-end testing approach, and is capable of testing even the complex software system with utmost ease. Tenjin supports end-to-end testing and offers detailed metrics with its TTM (Tenjin Testing Management) solution.

Importance of UI and UX Testing and Yethi’s Role

Creative designs and seamless navigation of the website determines the fate of how well the organizations connect with their audience. Only a visually appealing (UI) application with an easy user interface (UX) can stand out in the crowd, attract new customers, and retain the existing ones. Both, a good UI design and an exceptional UX design are necessary to offer a seamless and impactful user experience, failing which the company’s reputation would be severely affected. Hence, it is essential to carry out detailed UI/UX testing to make sure they work without any flaws.

The UI and UX parameters are critical for improved user experience and creating new inclusions of a smarter and future-oriented reality that will take your business to newer heights. Let’s understand what UI/UX is and why testing them is crucial.

What is UI testing?

UI, stands for the user interface, is the design layout of applications running on multiple operating systems. UI testing ensures that the application elements and stages, including the links and buttons, work without disruptions. Through UI testing, the developers and testers continuously enhance the application quality by fixing all its elements and functionalities.

What is UX testing?

UX, is the abbreviation to user experience, ensures end-users response, engagement and association with the website or mobile application. UX testing includes the overall look and feel of the website considering the user engagement. Whenever the company adds some new features to its product, the testers must perform UX testing to check how it impacts the user experience. Frequent feedback from the customers will help improve the product.

Importance of UI and UX testing

Businesses aim to improve their efficiency and profitability, acquire new customers, and retain the older ones. With this being the focus, it is essential to approach business smartly and intelligently. Companies need to learn different user perspectives so that products and services can meet customer expectations.

Through User interface testing (UI testing), testers ensure that the buttons, fields, labels, and other items on the screen work without any functionality errors. UI testing further checks the control over toolbars, colour, fonts, buttons, sizes, icons, and more and how these functionality responds, whenever there is some input from the users. User Interface tells us how the user interacts with the mobile and website applications. Testing of UI removes the blockage so that the users are easily able to connect with the software. The four parameters to check the product

UI of tested products are:

  • Easy to use and easy to navigate
  • Use consistency for the users
  • Easy user access of information and features  
  • Application compatible for uninterrupted performance

Sometimes users purchase and use a product followed by customer reviews, while others would opt for a product based on application interface and user experience. Every customer has a particular purpose for using applications. UX testing helps in identifying and achieving these purposes. When customers use products, they wish to obtain maximum value; hence, it becomes important to deliver applications of higher quality.

Through UX testing, an organisation ensures that they provide a fully functional quality software or application to the customers enabling them to navigate through the app without experiencing system errors or malfunctions. UX testing allows you to find a few of the core issues of applications, which are as follows:

  • Identifying the damaged links
  • Fixing the page errors
  • Resolving the content and language issues
  • Solving poor page design layout
  • Focus on enhancing messaging, images, and branding
  • Ensuring site and application uniformity

The smallest modification in the application interface, at the development stage, may have a significant impact on the software functionalities. Since the development team frequently incorporates changes in the User Interface, the UI and UX testing must be an integral part of the continuous development process. Since it is affordable to fix the UI bugs in the development phase, companies are likely to avoid incurring the cost during the product release by testing the application UI at the development stage.

Benefits of UI and UX tests

Cost-efficient

It is essential to build a high-quality product development and ensure the application performance rather than fixing the design. Conducting usability testing just before releasing the product to the market can help save more time and money. It also ensures customer satisfaction. It can bring down on unnecessary expenses and help you release an error-free product in the market.

High Conversion Rate

Website usability testing ensures improved user experience, which helps in enhancing website conversion rates by up to 75%. By improving the UI and UX of applications you are aiming to offer your users a fully functional application, which ensures complete user satisfaction. The user experience encourages long-term commitment from your users. By welcoming constructive feedback from your users, you encourage them to provide you with fresh ideas to improve your application functionality, further improving the product quality.

Brand awareness and loyalty

All businesses have different purposes and accordingly, they release solutions. But the success of each solution depends on how well your users relate to the brand. The secret of establishing brand success depends on how your users are encouraged to use the solution. The users must have an adequate understanding of the solutions provided to them so that the organisations are able to build brand affinity and expand the strength of their target audience.

Yethi’s Role as UI / UX Testing Partner

Banking is leaping towards digitalisation, and as a result, companies are investing in applications to gain more mobility. There are diverse mobile applications, and each comes with several challenges. To overcome these challenges testing across multiple devices and networks is essential.

At Yethi, we offer exhaustive test coverage throughout all aspects of digital transformation. From UX and UI testing to functional, compatibility, usability as well as security, we provide test across a large set of devices, OS, and browsers.

Yethi’s test automation solution, Tenjin, ensures quality testing of data elements on your digital and mobile assets. It incorporates real-time testing of native and hybrid mobile applications across diverse platforms, thereby eliminating delays and redundancies. Tenjin can reduce the testing time by 15-20% as it has a domain-specific test library of over half a million test cases.

Conclusion

When it rolls down to UX and UI testing, Yethi’s test management solution delves into the essential aspects of testing. To significantly bring down the testing time of an application, we follow the test selection method, i.e., we pick and choose only those test cases relevant to your domain. Having a collective industry experience of more than 25 years, we understand the importance of end-to-end development flow to minimize UI and UX issues and errors.

[INFOGRAPHIC] Manual Vs Automated Testing

Software testing has evolved from tedious manual testing processes to automated solutions. As software development processes are getting complex and moving towards a more agile approach, manual testing can be time-consuming while lacking accuracy and consistency due to its mundane nature. To ensure the quality of the software is the best, organizations are adapting test automation solutions that will also significantly reduce time, cost, and effort.

Take a look at the below infographic to understand the difference between Manual and Automated Testing, and decide which one to choose.

 

Manual Vs Automated Testing

Though, automation testing is preferred by most of the organizations today, manual testing cannot be eliminated from the process completely. Manual testing is required to set the initial automation process. However, automated testing is best suited for regression testing, repeated test execution, and performance testing.

Risks Associated with Data Migration and How to Mitigate Them

Let’s begin with some numbers! According to IndustryARC, the global data migration market that emphasizes Cloud-based servers over on-premises ones is predicted to reach an estimation of $10.98B by early 2022. In addition to this stat,  the Cisco Global Cloud Index shows that  Cloud traffic is expected to reach 7680 Exabytes in North America alone! Similar enhancements in modern data management technology bring more efficiency and transparency, which will directly surge the adaptation of application and data migration in small-scale and large-scale enterprises.

Given the risks associated, the question “Is data migration really important?” isn’t unusual. And the answer must always be “Yes!” Delaying data migration while holding onto outdated IT infrastructure isn’t an option with increasing market intrusion from non-traditional competitors who can create more nimble and responsive approaches towards delivering unique products. Because monolithic application systems weren’t designed to quickly adapt to business dynamics, they have to be replaced. Failing which, may pose further risks of losing market share and retention.

Let’s understand data migration first

At its core, data migration is the process of transferring data from one location to another, from one application to another, or from one format to another. This crucial step towards improvising an outdated IT infrastructure is generally taken during the installation of new systems or upgrading legacy ones, which will share the same dataset without affecting live operations. In recent years, the majority of data migrations are executed for transferring actionable data from on-premises infrastructure to Cloud-based options, that too, while undertaking data migration testing.

Concerns with legacy systems

The primary focus of IT infrastructure has already shifted towards better performing, more efficient, cost-effective, and secure solutions. CEOs and IT admins are struggling to maintain or support legacy systems as common challenges in legacy designs are time-consuming to tackle while the technology is mostly unfamiliar to new-age IT personnel. Some of the key concerns of using legacy systems include:

  • Heavy Maintenance Costs: Legacy systems are now obsolete, primarily, because of higher maintenance and operational costs. Further, the poor performance of such legacy systems cannot support new business initiatives.
  • System Failures: With legacy IT infrastructure, system failures are a daily occurrence. Since the professionals who implemented such systems have retired, new-age IT admins lack the skills to maintain legacy systems.
  • The Inability of Processing Complex Data: Within legacy systems lies old technology and computer systems that are fundamentally unable to execute complex enterprise operations with enough speed or reliability.

The increasing challenges to using legacy systems in today’s tech-driven world has led to migrating to new-age systems to keep up with the trend. However, migration to new systems may come with a set of potential risks which the organization should be able to mitigate and yield the best outcome from the migration.

Potential risks of data migration

  • Lack of Transparency: Not allowing key stakeholders to input in the undergoing data migration process is the mistake often made by enterprises. At any stage, someone might need the system to remain operational or would care if the data is being migrated, therefore, it’s vital to maintain complete transparency on the process.
  • Lack of Expertise or Planning: The primary cause leading to unsuccessful data migration is lack of expertise. With modern systems getting complex with millions of data points, it’s essential to evaluate which data points must stay operational. As data migration is more about risk mitigation, any disruption may leave IT admins clueless.
  • Addressing Data Privacy with Proven Migration Plans: When an enterprise doesn’t assess how many people might receive access to the data in the migration process, potential data breaches can occur. Conducting any data migration always requires proven migration strategies that further raise the probability of its success.
  • Defective Target Systems: Projects and vendors must be managed parallelly while flipping the switch from legacy systems to new-gen infrastructure. Suppose an error occurs in either the source system or the target system, it may derail the migration process in the middle of transferring vital data, raising the risk for data corruption.
  • Trying to Execute Complex Data Conversion: Unnecessarily making the migration process complex without any tangible increase in outcomes must be avoided at all costs. Complex conversions add extra steps to the process that just makes it challenging to execute. Only undertaking essential migration steps will surely get it done fast.

Why is data migration more about risk mitigation?

As legacy systems are growing organically, the need to adapt to modern business applications are raising concerns with their data quality. There might be millions of data points that must be assessed before concluding which ones must stay operational for any enterprise-scale migration. Along with regulatory and analytical needs, the data must be Extracted, Transformed, and Loaded (ETL) to modern systems without disrupting major business applications. As datasets get complex, things are no longer so simple!

The importance of conducting data migration testing

Once the data has been Extracted, Transformed, and Loaded (ETL) into new-gen systems, what stops it from being deployed? The answer is Data Migration Testing! As enterprises are swiftly migrating their operations to the Cloud, ensuring the integrity of data is key to ensuring further business applications. Here’s how enterprises achieve it:

Data-level validation testing

With certain data migration testing tools, data-level validation testing ensures that the dataset has been efficiently migrated to the target system without any disruptions. With data-level validation testing, data will be verified at:

  • Level 1 (Row Counts): Verifies the number of records migrated from the legacy system to the target.
  • Level 2 (Data Verification): Verifies data accuracy from any selected portion of the total migrated database.
  • Level 3 (Entitlement Verification): Verifies the destination database setup for users and selected data samples.

Application-level validation testing

In contrast, the functionality of the sample application is validated with application-level validation testing. This ensures the smooth operation of the application with the new infrastructure using specific data migration testing tools.

Conclusion

If you are concerned about the risks associated with data migration, you’d be relieved to know that the benefits far outweigh the risks. The importance of expertise and planning is still evident in data migration and data security concerns. In addition to having an efficient and rock-solid data migration strategy, enterprises must also practice data migration testing. Data migration processes remain an activity with potential risks, successfully testing can drastically reduce the migration errors while optimizing future data migration processes.

How Test Case Repositories Help QA Teams Test Efficiently

What is a test case repository?

Test repository comprises a comprehensive library of test cases that ensure key variations, such as initial states, possible scenarios, and user-system interactions. The purpose is to minimize the likelihood of defects slipping through.

Test case repository today is available with different capabilities and integrations, hence, there are many tools to manage these features. Test case repository management helps in easily capturing, storing, tracking, and searching information. This helps testers to focus on their core responsibility, i.e., testing, while other aspects of repository management are taken care of.

Importance of test case repository

If every team member maintains their copy of the test cases, there’s a high likelihood that they will lose track of where the project’s progress lies and what needs to be executed next. This leads to patchy test coverage and missed test case executions, leading to poor product delivery. It is best for projects with multiple tiers of deliverables to keep everything organized to avoid misunderstandings down the line. This ensures that everyone stays on top of their tasks as well as those around them, resulting in a much smoother process.

Testing is a repetitive task. Re-using test cases saves time for everyone on the team as there are large pieces that can be repeated for every project. The first thing you should do when starting a new project is to maintain a test case repository, where all previous test cases can be reused if needed and speed things up. If you maintain an organized system of storing your test case repository, maintaining it won’t take much of your time.

How to structure and organize your test case repository

The success of a software testing team is typically facilitated by the volume and nature of test cases that represent the basis for their cycles. A large number and variety of these test cases will probably take a lot of time and attention in getting them into place, there’s no denying that proper management with comprehensive test case repositories will yield the best outcomes. This compilation maintains an extensive set familiar with all key permutations and combinations in workflow execution and transaction interactivity to make sure that all variations within system administration and user interactions are covered.

Test repositories are not strictly limited to the system, software, and configuration variations but also cover things such as different factors, databases, operating systems, hardware platforms, and changes in different versions of the software.

Ways to improve your test case management practices

To start, let’s understand why the test repository is a crucial factor during testing, and what you can do to use it to your advantage.

Waste reduction

The key benefit of incorporating test repositories in software testing is the obvious avoidance of waste. Experts believe that old testing processes cause this waste to a much greater extent as a result of limiting information and feature reuse, thanks to lengthy documentation, isolation test cases, and replicating previous efforts after each release. This approach, unfortunately, doesn’t have a scalable solution as it requires much work, which must be spent on writing and maintaining cases, as well as countless additional costs.

In modern test management tools, one of the most important features is the test repository. This repository simply stores saved test modules that can be accessed at any time for future use; effectively eliminating the need to recreate or rewrite tests from scratch for the next project. It’s an indispensable feature for QA professionals and has been shown to increase the productivity and efficiency of testers by more than 100%.

It is imperative to make sure that system test cases are kept up-to-date with the updates of the business application or software product. If left unused, testers may find themselves testing features or behavior, which is no longer part of the current version, this leads to tests not working properly and ultimately results in future QA cycles degrading.

Boost overall quality

Tests are the glue that binds project components together. The key to having a successful project implementation is to maintain your test repository. Your program’s documentation should include tests that provide details about function or failure conditions, expected results, and how the change addresses issues uncovered during the implementation phase.

When code doesn’t pass a test case, QA teams can review the revision history in the code repository to locate where errors occur and take a more targeted approach to fixing things. Testing efforts are reduced with a single platform containing comprehensive error data for all kinds of testing. A unified platform will cost less and be more accessible than one dedicated to each group or project, helping everyone stay on track and boost overall quality.

Standardize the process

Although teams may practice a variety of procedures when it comes to running a project, this can result in a less efficient workflow. Lean testing practices should be used to standardize the process and storing unnecessary data should be avoided for efficiency. Focus on team effectiveness by creating a repository to not only store desired information but also to refresh existing tests as trends evolve.

Depending on the data sets that your system typically interacts with, you can easily reduce costly storage requirements by automatically removing obsolete records. Additionally, having multiple versions of the repository can facilitate regression testing to determine what changes in data could break logic.

Conclusion

How do you track your development and testing progress without any problems? The best way to avoid such problems is to choose the right tool for the job – one that not only serves as a test case management solution but also as an aggregator for projects. In addition to the right tool, one would need a good test case repository to save time and effort significantly.

Yethi is a niche QA service provider for global banks and financial institutions. With a repository of over half a million-test cases, Yethi can help you save a considerable amount of time, cost, and effort. Its test automation platform, Tenjin, is a 5th generation tool with a robotic UI plug and play design that can automatically learn and relearn offering greater accuracy and consistency.

Software Testing Efforts – Both Manual and Automated

The technological trend is changing at a faster rate than we anticipated. With this changing technological landscape comes the need to constantly update new and old systems for security, regulations, and market risks. For example, many financial companies have recently started moving towards offering cryptocurrency services, which are highly unregulated and volatile. Thus, companies need to incorporate robust software testing methods to ensure that their updates and new product offerings meet the industry standards while offering a seamless customer experience.

The standard component of software service includes:

  • Application workflows
  • Datastore and validation
  • UX and performance
  • Security and fail-safes
  • Integrations and 3rd party dependencies

These services are offered to a large customer base, across multiple channels and devices, in real-time and at a 24/7 availability while also navigating compliances on privacy and data protection. It means shipping an application from start to finish requires efficient stakeholder management and robust component testing at every step.

To successfully test these complex software, companies have to rely on Test management or Quality Assurance software that offer both manual and automated testing solutions. Let’s discuss the goals and approaches for both the testing methodologies.

Manual Testing

Manual is all about testing the application using a manual approach. The testers use this process to identify issues, check core functions and find out areas that require deeper attention. The execution process has a high degree of flexibility and helps structure the next steps in the testing process. However, manual testing is a slow process that is hard to scale. It is important in the early development cycle as the test environment evolves quickly.

Manual tests were traditionally managed through spreadsheets and documents; however, using test management tools to keep a log of tests run and maintaining version control is the most efficient way to conduct manual testing.

Steps in Manual testing cycle:

  1. Defining requirements of test on a document or test management tool
  2. Create a list of test cases based on the requirements
  3. Modify test cases based on outcomes and record results with detailed notes
  4. Identifying issues that were not accounted for in the initial plan

Key aspects of manual testing

  • Manual testing works better to execute dynamic and moderate scenarios.
  • Manual testing’s primary goal is to explore avenues that require problem-solving and check essential functions.
  • Manual testing is sometimes the only way to identify issues with the software, especially in the early lifecycle.
  • Manual testing is slow and inefficient when tests are simplistic and need to be run in high volume.
  • The quality of tests relies a lot on testers’ skills and knowledge.
  • Manual testing can never be eliminated from the process, no matter how advanced the automation technology may become. Every testing procedure, whether manual or automation, will require manual testing for initial set-up.

Automated Testing

Over the years, as the complexity of software increased, test management through manual testing is not able to cover ground as fast as delivery requirements need it to. Automated testing helps ensure rigorous product testing quickly, at a low cost, and offering higher scalability. When code is updated frequently, test cases are required to be re-run even for the functions that were not updated. It is to ensure that the update did not affect existing functionalities ‘regression testing‘ should be run frequently. Automating such repeatable test scenarios ensures time-saving and better end-product quality with less time.

Steps in Automated testing cycle:

  1. Defining goals, timeline, and requirements of the test results
  2. Creating relevant test cases and checking the feasibility
  3. If feasible, identify the right automation tool based on budget and need
  4. Executing the test cases and analyzing reports of the outcome

Picking the right automation tool is an extremely important decision and must account for:

  • The core and edge networks of an application, as they have different testing needs
  • Industry, for example, BFSI applications will have different priorities over an e-comm or lifestyle application
  • Lifecycle, established products will require more regression cycles compared to those in the initial development
  • Reporting features, since they help reduced time spent in analytics
  • Convenience, different teams should be able to adapt to the tool quickly

Key aspects of automated testing

  • Automated testing reduces time, effort, and cost to perform tests required for regression testing.
  • Automated testing requires an initial investment in software purchase and setting up the process, such as building the test case library.
  • Automated testing improves product reliability by covering a larger set of test cases frequently.
  • Automated testing cannot adapt to undefined variances and relies on the prediction ability of the tester.
  • It is necessary to deploy automated testing tools across all kinds of applications, especially in the stages before the final release.
  • Automation is necessary to run stress tests or performance tests.

Despite the differences in the approach of manual and automated testing, it is important to understand that both methods complement each other in refining the application. Manual tests are well-thought-out exercises that look for fundamental problems, discoveries, and learnings, whereas automated tests are mindless rigor that lacks decision-making but saves immense time, cost, and effort while offering accurate results.

Choosing an incorrect testing suite can cause several problems that snowball into millions lost in opportunity. Duplication due to redundancy, huge test backlogs, poor analytics, and lack of team collaboration features can slow down the entire development process in a growing competitive market. Data from many surveys suggest that many banking players are unable to meet new age requirements due to legacy systems and management tools slowing the system down.

Yethi’s test management solution for the banking and financial sector Tenjin by Yethi is a powerful test automation platform that supports a wide range of testing activities for banking and financial applications. It is built with a keen understanding of the space and requires minimal programming experience. With a diverse set of analytical and team collaboration features, it delivers high-speed operations with greater consistency. It is a 6th generation, robotic test automation platform that allows you to build and maintain test automation while delivering accurate and efficient results every time.

How to setup TCOE?

The growing emphasize on the quality of software applications has led to an evolution of advanced QA processes. With this trend of quality being the key factor determining the success of an application, new testing models are being implemented to strengthen the QA. Testing Centre of Excellence (TCoE) is one such testing framework that reduces operational and infrastructural risks of an organization and improves efficiency and turnaround time.

The TCoE model works on a centralized approach by uniting the testing process with workflows, technology, manpower, and business models. Such an approach standardizes the testing process and helps define new business objectives, boost competency, and enable faster time-to-market.

What Is Testing Centre of Excellence? Why do we need it?

A Testing Centre of Excellence (TCoE) is an agile framework that defines, executes, and measures testing controls and standards across an organization. Here, the testers have shared resources across teams, however testing protocols, toolsets, methodologies, and KPIs are maintained at a centralized level. Every organization that aims at providing the standard software implements TCoE. By doing this, it efficiently deploys the testers in the teams; simultaneously, maintaining the principles and processes of QA.

TCoE can be incorporated by answering the following questions to define a perfect roadmap to achieve the desired outcome.

How to set up TCoE

The TCoE model operates by implementing agile methodologies, thereby, eliminating redundancies and organizational risks. Apart from these, it has several other benefits, including IT costs reduction, speeding up innovations, enhancing the software quality, and improving the testing capability.

Significant steps involved in TCoE setup

Following are the key steps to establish TCoE; setting it up is simple and easy, but the benefits are immense, which includes improving quality, faster results, and achieving the best business outcomes.

Defining KPIs For TCoE

Having your key performance indicators (KPIs) identified is important to understand if it is going to add value to the organization. Whether a new process is being set up or an older one is being modified, defining KPIs will provide appropriate metrics showing the success rate. KPI identification depends on various factors including team size, organizational culture, and current gaps or challenges that need immediate attention.

Requirement analysis

Requirement analysis is an important part of any project, process, or workflow, which is often neglected. It is important to understand that requirement analysis is a crucial step, which determines the success or failure of any project by defining the need of the end-users and creating the scope for building a new application or modifying the existing one.

The analysis can be started by evaluating:

  • When are you going to carry out the testing?
  • Is the testing model validated?
  • Are you testing a web or mobile app?
  • Is the testing performed on-premises, remote, or Cloud?
  • Which tools and methodologies are being deployed?
  • How to develop automation skills in the team?
  • Which process will best suit the project?

Ones the requirements are assessed, it also becomes important to understand the enterprise landscape like the reasons for initiating the project, the budget, the associated risks, deadlines, etc.

Understanding the objectives of a TCoE

When an organization is considering adopting the TCoE model, the objectives should be well established. A TCoE is mostly preferred with an objective to:

  • Perform testing in Agile and DevOps environment for faster software release
  • Incorporate shift-left approach to detect the errors early
  • Maintain compliance with all the regulatory systems
  • Improved software quality
  • On-budget execution
  • Mitigate any associated risk
  • Faster execution and greater productivity

Defining your objectives will streamline the process and provide a clarity on the project requirements and work it out within the budget.

Establish the setup

The working of test automation and TCoE models are simple and self-explanatory. Start the process with the below steps for better outcomes.

  • Install and configure the updates
  • Find the business processes that needs to be tested
  • A brainstorming session for the team
  • Validating the process multiple times to ensure there are no discrepancies
  • Documenting the entire process to find the functional and infrastructural gaps

Create TCoE implementation plan

Incorporating the TCoE model alone will not assure any drastic results; for successful results, you should effectively manage the process, people, and technology. For successful TCoE, follow the below steps:

  • Select the appropriate testing framework that will suit your business requirement
  • Identify your initiatives and reuse the test cases available from the associated library
  • Manage the TCoE with the pre-defined objectives
  • Establish an organizational structure
  • Define the best practices for operations and management

Operational setup

Execution of the TCoE is the critical step that will give you a measurable outcome to analyze the success/ failure of your project. The key steps in the operations of TCoE includes:

Identify the key project: Running multiple project all at the same time can be a little chaotic and may not yield the expected result. Identify your key project and run it first; carry out testing process for one project at a time.

Create a roadmap: Always have your roadmap ready that is in alignment with your goals. This will have a check on any discrepancies and allow you to rectify it earlier in the product lifecycle.

Measure success metrics: Measuring the results is important to understand your success rate and keeping a track on the defect rates. This will help organizations to improve their process and eventually their business revenue.

By following the above TCoE setup plan, one can gain the best results and ultimately have a successful project with better business returns.

Building a TCOE program

Building a TCoE program will ease the business process testing with end-to-end competency. It helps in mitigating risks arising due to unplanned disruptions, and helps in promoting innovation, increasing resource efficiency, and establishing continuous quality throughout the organization.

How to ensure the success of TCoE

·      Ensure the test library allows access to reuse test cases

·      Determine future quality initiative

·    Establish an organizational structure

·       Ensure all the best practices are being implemented and executed

·      Documentation, naming convention, change management, test design, and test execution are all followed as per standard protocol

Yethi’s TCoE for software QA

The TCoE Testing Centre of Excellence aims at providing the standard testing principles and tools, with the topmost priority being the quality of the product. There are three phases in the stages of setup and execution – to standardize the tools, processes, and manpower. Therefore, it is necessary to set up the TCoE efficiently to carry out the work. Yethi is the market leader in offering QA services to banks and financial institutions across the globe. Our TCoE has the capability to efficiently handle your test resources and infrastructure with standardized testing approach. With our Testing Centre of Excellence, you can optimize your existing QA process, meet your business objectives, and improve revenue.

Reengineering Test Management

Business processes are constantly evolving to suit the requirements of the modern workplace, hence, letting enterprises reorganize their existing systems/workflows. The reorganization process involves the implementation of new technologies backed by strong testing teams to ensure there is no compromise on the quality. This profound reassessment and drastic reorganization to generate substantial gains in terms of performance metrics such as price, standard, facility, and quickness is called reengineering, and the testing process associated with it is called reengineering testing. Reengineering is important to increase the business agility and flexibility, thereby, improving the business operations for better growth and revenue.

Information technology plays an integral role in the reengineering efforts. The application of modern information technology can help to redesign the processes to improve performance. The redesigned test management can solve the problems of the decentralized and unstructured test management process. It is to be noted that software reengineering and business process reengineering are a part of reengineering test management to improve the overall outcome of testing. The aim of software reengineering and business process reengineering is also the same, i.e., redesigning the process to improve the performance and quality of the software.

Features of Reengineered Test Management

Below is the list of primary features of reengineered test management:

Test Procedure and Test Design Development

Test design is the stage in testing that involves the creation of test documents, such as functional specifications, requirement validation, etc., that defines the testing scope, objective, and other relevant information. The test development stage involves documenting the tests with execution steps and their respective expected results. Test management provides the templates to document test cases easily. The documents are placed in the centralized database that helps in achieving consistency and standardization. It helps in test coverage and traceability too.

Organization

It is necessary to emulate the behavior of the end-user to test the usability and functionality of the application. For this, the predefined logic needs to be followed with test execution, running test cases in a sequence. For example, to test a website, the user first opens the application, logs in, places the order, and then logs out of the system. Hence, the test should be in the order of login, select items, place an order, and log out.

Review

The test cases created by a team member need to be reviewed by the reviewers, customers, or other team members. The review helps in improving the test cases if required. Test management helps in easy communication of test cases among team members.

Execution

Based on the deployment of the Test Management tool, it is easy to access the test cases from any computer over the internet. With the use of Test Management tool, test cases can be easily located and processed. Once the test gets processed, the tester can lock the results and other required comments. Also, multiple team members can execute the test cases in parallel. The tool also tracks the defects associated with any test case.

Maintenance

The improved and Reengineering Business Process also helps in maintaining the history of each test run. These include date and time of execution, tester name, configuration required for executing, and defects linked to tests.

Defect Management

Defect gets created by the tester and routed to the developer once any test case fails. The defect information gets inserted into the test management tool so that any team member can track the defect and reproduce it.

Quality Testing Dashboard

The Test Management Tool gathers and displays all the information, such as created test cases, executed test cases, and reported problems. All this information gets stored in a database and can get gathered in a report at all times.

Test Case Cumulative Report Table

Test Management Tool also helps in generating other reports created based on attributes, such as test type. One can easily decide the product quality based on test objective, accuracy, and real-time information. The test reports help the product managers, taking informed decisions about the application under testing.

Steps Involved in Business Process Reengineering testing

Refer to the below steps of business process reengineering that makes the process transparent and fair:

  • Mapping the current state of the business process: It involves the information gathering from all resources in use and understanding the performance of the current process.
  • Find process gaps: Find out all the flaws in the current process that holds the free flow of the process.
  • Understand the improvement opportunities: Make sure to verify the necessity of all steps or the ones that can be removed.
  • Design process map for the future: Create a new process efficient to solve the problems created by the current process.
  • Implement changes in the future state: Inform the stakeholders about the new process. Implement the process once everyone is aware of the new process and monitor the KPIs (key performance indicators).

Need for Reengineered Test Management

Software reengineering enhances product quality in an economical way. It helps in identifying the constraints and other impractical usage of deployed resources that restrict the development process. Below are the points that define the necessity of software reengineering:

Enhanced productivity: Software reengineering optimizes the database and code to fasten the process and increase productivity.

Process in continuity: The software product functionality can get used when the development and testing of the software are in progress.

Improved opportunity: Software reengineering not only improves the software quality but also refines the skills of the team members. It helps developers become accustomed so that they can capture new opportunities and develop new features.

Reduced risks: It helps in the development of the product from the existing stage instead of developing from scratch. It can be done by enhancing some features that are concerned by stakeholders.

Saves time: As the software gets developed from the existing stage, the time taken for the development is lesser.

Optimization: Software reengineering refines the functionalities and features of the software and reduces the product complexity, thus helping in achieving optimization.

Why Yethi for reengineering test management?

Testing and test management are crucial stages of software development. But the process of reengineering helps in building a process that can improve the quality and performance of the reengineered software. There are certain steps that help in achieving it; however, the steps may vary from organization to organization. But the overall aim is the development of an improved process that can overcome the problems of the current process and save cost and time.

Yethi is a name you can trust for your reengineering test management solution needs. We are a niche QA service provider to banks and financial institutions across the world. At Yethi, we strategically identify the business processes and redesign the workflows for higher quality reengineering solutions. With our specialized framework, systematic approach, and in-depth documentation, we assist organizations to bring about excellence in their service delivery. Our test automation platform, Tenjin, is a 5th generation, codeless test automation platform easy to integrate and deploy with the systems and platform. It can effortlessly carry out testing of even the complex scenarios, helping in saving time, money, and resource strength considerably.

Continuous Testing: What Every DevOps Team Needs to Know

Organizations are constantly investing in their digital transformation journey to enhance their business operations in today’s fast-paced competitive market. But, if done incorrectly, the advanced digital initiatives can hamper their projected growth, leading to a considerable waste of resources and leaving them in worse condition than before. Hence, organizations have come to terms that they should test their technology platforms. Additionally, they have learned to improve the management of their connections with their employees, customers, systems, and the data for the success of the digital transformation initiatives. Continuous testing can help organizations through the transition phase and minimize the risks associated with the software assets.

First introduced to decrease the time to receive developers’ feedback, continuous testing aims to test more often, especially at the early stage of development, and then test the entire unified codebase.

Continuous testing allows organizations to seamlessly integrate their software with legacy systems and boost their business efficiencies. For the DevOps team, continuous testing plays a massive role in skyrocketing their growth.

What is Continuous Testing?

Continuous testing involves testing early in the development lifecycle. It carefully evaluates software quality as part of the ongoing delivery process due to testing regularly.

In a traditional framework of testing, software is transferred by one team to another with a project that has clearly defined development and quality assurance (Q&A) phases. This process would demand a significant amount of time from the QA team to ensure quality, since it was prioritized over the project schedule. However, as today’s organizations have no choice but to deliver software to their customers rapidly, the traditional framework isn’t a feasible option.

With a continuous DevOps process, organizations can release software changes faster while moving from development to testing to deployment. Moreover, continuous testing helps DevOps teams to explore critical issues in the initial stages of development itself. As a result, it helps mitigate the risk of bugs beforehand and saves companies the cost of fixing errors further down the line. Continuous testing in DevOps also involves various stakeholders such as the development team, DevOps team, Quality assurance (QA) team, and operational staff.

Continuous Testing in DevOps

DevOps has its architecture, system, resource, and the process that operate. On its process side, there’s a strong culture of cross-discipline collaboration. Most of the time, developers collaborate when they produce code and pair-programming. Their work is frequently measured in days or hours of work. After the development is done, the code is ready for production, not for intervention.

On its technology part, DevOps understands and automates handover code between previously siloed departments. Continuous testing in DevOps concentrates on breaking down the silos of testing and QA to spread out to participate in the entire software development lifecycle.

In the DevOps environment, continuous testing can thrive if the organization is committed to transforming itself positively. But, for its successful execution, organizations shouldn’t be hung up on the most popular tools for the continuous delivery environment but instead spend their time deciding how these tools are tied together. Their ability to ensure seamless information exchange between tools can achieve the continuous aspect of their automation process. And in the process, it can remove the need for manual intervention. 

Steps for Continuous Testing in DevOps

Establishing stable automation

Stable automation is the first step in DevOps Continuous Testing. Developers can have stable automation once the testing issues across the DevOps are remediated and smart reporting for clearly discerning between real problems and false negatives.

Running a daily cycle

In the next phase, the DevOps team should add a limited number of scripts into a repetitive pattern that runs at least once a day, automatically, successfully, and unattended on different platforms.

Increasing Coverage

After the stable connection runs at a reliable pace, the next phase is to increase the test coverage. Since the numbers can vary, the DevOps team should reach valuable and meaningful functional and non-functional test automation coverage. The original range may be from 90 – 95%  The parts that are not automated will only occur at the end of the cycle.

Doing Continuous testing throughout the day

The final stage is continuous testing. In this stage, the process moves from automated testing every night to multiple times a day. The benefits of it are faster feedback, better accuracy as well as minimized risk. It also provides developers with better flexibility during the entire development cycle and usually reduces their defects by 50%.

Best practices for DevOps continuous testing

Successful integration of continuous testing in DevOps needs a high level of collaboration, where everyone maintains quality and cooperation. The team should decide on test cases before commencing coding. A few practices of continuous testing for DevOps include:

  • Decreasing test waiting times with testing carried across all the stages of the delivery pipeline by reducing complexity.

  • The testing should cover all aspects of a DevOps lifecycle. It will provide developers the feedback they need across all stages to ensure the quality of the software is under control.

  • Organizations should access the requisite DevOps tools, dependencies, and resources to be successful with continuous testing.

Continuous testing is integral to DevOps’ continuous integration and deployment process pipeline. With continuous testing, the continuous integration/ continuous delivery (CI/CD) pipeline continually moves from the development to testing to deployment process.

Benefits of Continuous Testing DevOps

Continuous testing comes with many benefits for DevOps. Here is an overview of a few of them:

  • Discovers critical bugs early
  • Provides a smooth collaboration among developers, QA, and Operations team
  • Enable developers to assess the quality of software at an early stage
  • Removes the testing bottleneck from the DevOps procedure
  • Delivers a stable user experience
  • Assist in providing test results at a faster pace that results in improving the overall code quality
  • Allows for a quicker time to market with a viable product as well as a continuous feedback mechanism

Conclusion

By understanding DevOps Continuous Testing’s architecture, steps and incorporating best practices, organizations can hope to deliver high-quality software while engaging in a continuous testing mindset to differentiate themselves from their competitors.

Why choose Yethi?

Yethi is a leading QA service provider to global banks and financial institutions, which is committed to address and resolve the quality challenges faced by organizations. Its test automation platform, Tenjin, is a 6th generation robotic platform that has a simplistic plug and play design. With its high-test coverage, it can effortlessly remove any redundancies and makes sure the system performs at its best. It offers great performance, flexibility, precision, and consistency for a seamless user experience.

Performance Testing: How this helps the BFSI industry?

Performance testing is a crucial part of the QA process which is directly associated with customer satisfaction. Imagine a pay-day, banks are busy dealing with salary accounts of not just an individual, but accounts of employees from multiple companies, along with offering services to other esteemed customers. The load created on the system is immense; if the bank system, by any chance, fails to keep up the load, it can disrupt the business.

Let us take one more instance, you are in the middle of online payment and the speed of the page reduces drastically, or you have initiated a payment but failed to receive a confirmation due to an unresponsive page. Such scenarios will not just lead to the loss of customers, but also impact the business continuity plan and strategies, eventually affecting the reputation of the company.

Performance testing will ensure on creating reliable application with speed, scalability, and responsiveness. It does not concern only about the features and functionality supported by the application but always aims at eliminating the performance bottlenecks.

What is performance testing?

Performance testing is a non-functional testing technique that checks for the speed, stability, scalability, and responsiveness of software, application, or device. It forms a significant part of the software development lifecycle (SDLC) and focuses on identifying and removing the performance challenges in the software application.

Challenges associated with performance testing:

  • The major challenge lies in data set up and management for the large volume of data with repeated tests
  • The inefficiency of the wrong performance testing tools
  • Lack of proper test strategy to identify the correct type of test run, like LOAD, STRESS,  or SOAK
  • Complete test coverage with time and budget constraints
  • Lack of knowledge to monitor the activity to identify the performance issues
  • Improper analysis of performance test outcomes
  • Difficulty in conducting tests on production environment
  • Developing an efficient background process that runs on the live environment and can affect performance

An adequately working application will keep the existing customers happy, attract new customers, and create improved business models for better business returns.

How to overcome the performance testing challenges

To overcome the challenges associated with the performance of an application or device, it is important to have the perfect strategy in place to detect load simulation and measurement; thereby, eliminating any issues that may crash the system under load.

  • Design a planned end-to-end, comprehensive strategy to carry out performance testing
  • Choose the right performance testing tools based on the criteria of the application technology stack, application communication protocol, performance tester’s skill level, and tool’s licensing cost
  • When conducting performance testing make sure to perform testing of the web servers, databases, app servers, Load Balancer, network, IIS server, and third-party apps
  • Create and maintain a consistent test environment
  • DevOps optimization for automation and integration of performance testing

Significance of performance testing in the BFSI industry

Website crashing during heavy traffic is something commonly experienced; a poorly performing website/application means loss of potential and prospective clients. The high intensity, data-driven BFSI industry which deals with critical data of the clients offers no scope for compromise on the performance of the user page. Any kind of poor performance can lead to dissatisfied customers which will, in turn, affect the business as a whole.

With an immense increase in the number of people using digital platforms for banking/ financial transactions, it requires the banks and financial institutions to have a fully functional system in place that will offer a seamless customer experience. Banks have to make sure that the sensitive actions of money transactions, bill payments, financial management, loan application, etc should work adequately even during peak hours. On failing to do so, the banks/ financial institutions will experience huge financial loss, customer loss, and may also face certain legal issues.

The procedure and tools for performance testing in banks and financial institutions are transforming at a rapid pace. The change is brought in by the ever-changing customer behavior which has witnessed a change from traditional banking and online banking to banking on mobiles, tablets, and wearable devices. The financial sector needs strong performance testing in place, which needs to be updated often, to keep up and running.

How performance testing helps the banking/ financial sector:

  • Greater customer experience
  • Resolve any potential issues before the application reaches the market
  • Identify and solve issues related to database and API (Application Programming Interface)
  • Improve application engagement and robustness
  • Improved speed and scalability
  • Build responsiveness of an application

Types of performance testing

Here’s the list of common types of performance testing carried out by banks and financial institutions to ensure the best performance of the software/ application.

Load testing: Load testing is the process of checking the ability of the application to perform under higher user loads. The performance issues are identified before the application goes live.

Stress testing: Stress testing is conducted to identify the breaking point of an application. This kind of testing involves testing an application or software under extreme workloads to check how it handles the high traffic hours.

Endurance testing: Endurance testing is conducted to ensure the software/application can handle the peak load over a long period of time.

Spike testing: Spike testing is conducted to test the software/ application behavior during a sudden spike in the number of users.

Volume testing: Volume testing is conducted to check the application behavior during varying loads of volume. Here, large volumes of the different databases are monitored and tested.

Scalability testing: Scalability testing is conducted to test how well the application scales during high traffic.

Yethi’s uninterrupted performance testing

Yethi is a QA service provider to banks and financial institutions across the world. Talking about performance testing, Yethi’s test automation tool, Tenjin, conducts the test efficiently to eliminate any performance issues and ensures that the application works at its best. It monitors and handles the test to check the response time, speed, scalability, and resource usage under the standard workload, thereby, creating a robust and scalable system that works without any disruption.

Yethi has helped several global banking/financial institutions with an easy and efficient test automation solution. We have introduced our revolutionary solution that has changed the course of test automation by providing nearly 100% accuracy.

How to reduce flakiness of your automated tests?

Software testing is an inevitable part of the entire software development and deployment cycle, which is directly linked to the quality of the end products. In addition to testing for errors, bugs, and other discrepancies, it is also important to check the consistency of the test results. Sometimes, the results may vary for the same test code, making the process unreliable; failures due to inconsistent test results are called flaky tests. Flaky tests tend to hinder the developmental process, hide the bugs in code, increase total costs, and slows down the overall progress.

Flaky tests are highly unpredictable with higher fluctuation rate; there is no reliability on whether they would pass and provide desired results. Dealing with flaky tests is a critical challenge of automated tests and it becomes important to eliminate any fluctuating end results and improve the quality. Hence, companies are taking necessary measures to reduce the flakiness and create a reliable and stable product.

Reasons for flakiness in test automation

Flaky tests are an indication of unreliable test results, which will affect the quality and hit the brand adversely. It is essential for organization to identify and eliminate flaky tests for improving the quality. Flakiness may occur due to a number of reasons; the popular ones include:

Poorly written tests: Among all the other reasons, a poorly written test case is the most commonly occurring one. A poor test case will not give the results as expected, and often lead to fluctuation in the end result; thereby, creating a negative impact on the overall effectiveness of the process. Flakiness arising due to such reasons can be easily avoided by investing in good resource who can write best and unique test scripts.

Not having a strategic framework: Frameworks are a critical parameter to perform testing activities successfully. They comprise a set of rules/guidelines to design, create, and manage test cases. In scenarios where a strategic testing framework is missing, they may lack having an efficient test handling method, coding SOPs, standard repositories, resource access protocol, and a lot more. Without a standard framework in place, the test result may experience flakiness showing inconsistent results.

Shared test environments: Organizations often tend to share infrastructure, operational processes, and teams across multiple projects, to save on cost and resources. The shared environment can lead to overlapping of testing processes giving rise to serious conflicts. Further, the share environment may not prove to fix emergencies, delay deployment time, and doesn’t guarantee superior quality, leading to flaky tests. Enterprises should avoid using shared test environment to control and manage flakiness.

Issues of synchronization: Synchronization focuses on keeping test automation and AUT (application under test) in sync. In the event of failing to do so, the test result may be subjected to flakiness showing inconsistent results. Hence, to avoid flaky tests, it is important to handle the issues of synchronization.

Tests dependent on each other: Having tests dependent on each other is a bad testing practice, as it doesn’t provide the flexibility to behave and assert as expected. If the tests do not execute independently, they might cause flakiness in the test results. Hence, it is important to understand the objective and create and run test as per requirement.

How to identify, fix, and manage flakiness?

Flaky tests interfere with productivity and quality, slowing down the entire process. It is of utmost priority to have a regular check on the test processes/results to reduce flakiness. Here are some methods you can incorporate to identify and manage flaky tests.

Align the processes

You should consider the long-term impact while designing the automated tests. The evolution of software technology is inevitable; thus, the automated tests must be adjustable in alignment with the undefinable changes. Most of the flaky tests arise due to issues with integrating new technological advancements and digital resources. Aligning the process with the integration and performing a thorough user acceptance testing will reduce flakiness to a maximum extent.

Define the objectives

Clearly defining the test objectives for automated UI testing processes will ensure that the user interface provides consistent results to the users.  Defining clear objectives will determine the scope of the end results, hence, testers can work towards achieving consistent results and adopt a strategy to completely avoid flaky tests.

Streamline the development process

To remove flaky tests, you should ensure that every step of developing a software is streamlined for avoiding pitfalls and bugs even after the launch and upgrades. Additionally, you should conduct unit testing at every step of the development process to resolve any disruptions and issues in real-time rather than encountering bugs in lateral stages or after launch. You can also define the scope of testing evaluation standards so that the development and deployment teams can eliminate any probability of flaky tests of the software.

Allocate resources efficiently

Automated testing focuses on concerns of time, resources, cost, and quality. It is also essential to formulate strategies that guide towards efficient development rather than flakiness. These strategies ensure that allocation and reallocation of the resources during the software development lifecycle are subjected to credible outcomes of efficient automated tests rather than being dependent on unreliable results of flaky tests.

Test the quality of the software

Automated testing is one of the most effective ways to track the progress and efficiency of software and ensure a premium user experience with the continuous protection of sensitive data. Concerning this context, you need to list all the tests to ensure optimum performance and reduced software flakiness.

Abide to the protocols

To attain desired performance and value from the automated testing processes, the development teams need to ensure that they abide by the testing standards. Also, they should follow every protocol and guideline so that the tools used by automated testing processing support attainment of the predetermined objectives and ensure the longevity of software utilization.

In this regard, the testing team needs to ensure the tools are versatile, accessible, and compatible with all the testing requirements, and are easy to maintain and document. By ensuring that the automated testing framework is maintainable and scalable, you can ensure adequate quality checks of all the functional aspects of the software and maintain error logs for reviewing occurrences and repetitions of the issues.

Maintain the scripting standards

For eliminating flakiness, you must ensure that strict specifications are enforced on scripting standards used throughout the automated testing processes. With exacting specifications imposed throughout the software development life cycle, uniformity of coding, error handling, debugging, and documentation can be established, simplifying the reporting practices, and enhancing the quality of automated testing processes. Additionally, the testing team would clearly be understanding the actions they should be in alignment with the implied specification for documenting the errors and handling the unexpected behavior of the software.

Ensure the elimination of errors

Software development and testing teams should also install checkpoints throughout the software development lifecycle to ensure that the steps are aligned with the predetermined pathway. The testing processes are deployed to ensure the software is error-free before the actual launch. One should conduct the check of mapping before the initialization of the software development to ensure that the team members have clarification about the reporting requirements and testing resources throughout the process.

It also allows the testing team to conduct manual testing of the outcomes derived by automated testing to eliminate flakiness from testing and bugs from the software. Verification at predefined points allows helping the team in monitoring the software development process in real-time to avoid any deviation and delay due to bugs, flakiness, or any other aspect.

No more flaky tests with Yethi’s new-age testing solution

Beat the issues of flakiness with Yethi’s test automation platform, Tenjin. Tenjin is a codeless, auto-adaptive test automation solution that can ‘learn’ and ‘relearn’ to manage test assets efficiently. It is capable of navigating across systems and platforms of Mobile and Web, and establishing test with unique test scripts, thereby, reducing the issues of flakiness.

Yethi is a market leader in offering QA services to banking/financial software. With a wide range of testing activities for diverse banking applications, we bring our expertise to design and execute a test-strategy for you to leverage the best out of it.

AI in Testing – Different Areas Where AI Supports Testing

Adapting automated algorithm for software testing is a massive trend in the industry, and with advances in AI, it can reach unprecedented heights. The incorporation of AI in software testing can significantly reduce human time by effortlessly performing repetitive tasks. Its reasoning and problem-solving capabilities will help identify bugs easily, thereby, improving the software quality significantly. It also increases the productivity rate and agility while ensuring reduced time, cost, and effort.

Although codeless test automation has proven to improve software quality, it is interesting to note that AI-driven automation can improve the speed like never before and offer greater accuracy. Organizations are in a constant effort to leverage the best out of AI technology and utilize it to transform their test automation practices. Indeed, there are no limits to AI capabilities! Let’s take a closer look at how AI in testing automation is transforming software testing and see how companies worldwide have already adopted this technology to improve their QA processes.

The Role of AI in Software Testing

AI-powered testing is gaining popularity for the immense benefit it offers. The main application of AI in software testing is to increase software automation capabilities, reduce time, save money, ease defect tracking, and use its intelligence to analyze customer behavior and change their operational strategies accordingly.

Artificial Intelligence can be a considerable asset when it comes to automating the process of testing tools. It’s capable of performing tasks beyond human capability and ensures an accurate result which is not less a revolution. AI will also make detailed reports personifying the process to assure a greater outlook on how the team is doing with their transitions from traditional, manual testing to something that is easier for a person to verify within a shorter amount of time.

However, automated tools require a significant amount of initial configuration: testers and architects need to enhance the tool’s functionality and control its performance during the work. Once the organization moves beyond these limitations, it can achieve greater results with AI technology.

How AI can help in software testing

AI in test automation is like having a robot do things for you, checking if your website is up and running or testing the quality of the latest update coming through on your app. This type of software package can help speed up any process that may be crucial for this kind of job.

Test Case Writing

Artificial Intelligence can cut out the background noise of traditional test case writing. With software becoming intelligent by the day, it’s not long before Artificial Intelligence will make an appearance in automated testing to offer new capabilities other than reducing time spent on repetitive and non-value-added work. By implementing AI solutions, organizations will successfully address the current problems surrounding manual testing, namely reducing cost and maximizing productivity with minimal human intervention.

API Test Generation

API testing is a way of evaluating the quality of interactions between different programs. Testing assures that connections to databases, servers, or other protocols are stable, requests are processed correctly, and end-users will get a correct output after a particular interaction.

For this reason, when your app’s developers use multiple tools, automation for testing is vital for ensuring all functionality is checked thoroughly and every request is processed correctly every time.

Artificial Intelligence is excellent at spotting flaws in code and its tests. It can very quickly determine if an API is fully functional or suffering from errors and omissions. It’s AI’s job to analyze if there might be issues, generate test cases to track problematic areas, and interact with each other to avoid conflicting goals.

Visual Validation Testing

Automating visual testing is not an easy task due to the countless number of possible test scenarios that can cause bugs. In addition, a tester must be able to put themselves into the mindset of the end-user and see the UI with their eyes to evaluate all possible issues. Given this challenge, it’s understandable why nuances accompany visual switching tests over to automated solutions – it’s difficult for testers to specify every necessary detail, so there is no room for bugs.

Predictive!

Artificial Intelligence offers software testers and developers the ability to extrapolate users’ needs by analyzing historical usage data. This functionality allows testers to deliver better services that meet quickly evolving user expectations. As each user is analyzed, the AI learns how they interact with the system and begins to generate more accurate predictions based on previous behavior, leading the testers closer to acquiring full data confirmation of their results.

The Current Trends of AI in Software Testing

The current trend in testing tools and frameworks is to use automated systems that can discover, create model, enable test generation, detect failures, and even fix the issues they identify. This newfound innovation using intelligent test bots to automate tasks such as application discovery, modeling, and failure detection is helping developers get their jobs done more quickly and accurately than ever before. Furthermore, by leveraging machine learning techniques to design test bot behavior, there’s no stopping the team from succeeding.

The Future Trends of AI in Software Testing

One of the hottest trends that has bloomed over the past decade is artificial intelligence (AI) to optimize already existing tools and technologies. For example, web and mobile applications can now be functionally tested using AI, while visual testing of user interfaces is possible thanks to technology like machine learning. Beyond this, we can expect to see entire technology stacks for automated testing replaced by AI in future years too!

Conclusion

Fortunately, many AI-powered platforms offering a wide range of testing solutions have already been launched and are used by millions of people. Artificial Intelligence is becoming increasingly popular among software testers and businesses for optimizing testing processes. As a result, the industry is starting to reap the benefits that scientifically sophisticated and specific product testing can deliver, such as gains in efficiency, intelligent decision making, self-healing capabilities, and faster test execution times.

Yethi’s AI-driven test automation 

Yethi, market leaders in software testing for banks and financial institutions, will soon launch a powerful AI-enabled test automation solution to keep up with the AI-powered test automation trend. The new AI-technology enabled testing models is designed to carry out predictive analysis and optimize the results based on the customer’s previous requirements. The innovative product includes  smart selection of test cases to train the model and save the changes on real-time. The AI-model for test automation has already started yielding results right from its development stage with increased productivity, speed, scalability, security, and stability, while reducing time, cost, and effort.

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.

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.

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%.