10 Important Aspects to Consider While Testing Mobile Banking and Internet Banking Platforms

mobile and internet banking testing

Testing mobile and internet banking platforms are essential in the current banking landscape. Customers no longer wish to continue with brick-and-mortar banking. They avoid visiting banks and standing in long queues as they know that the banks will meet their requirements even from a remote location. This daily dealing and transactions are now pushed to an extreme, where banking seems impossible without mobile platforms. Of course, inadequate performances of mobile banking have various consequences, and there is no room for pondering whether the mobile and internet banking platforms need testing. The answer to the question will always be a big “YES”.

Indian millennials totalling 440 million, compose 46% of the workforce and contribute 70% of the household income. An average millennial checks his smartphone once every 15 minutes. Digitisation has made it easier for millennials and other banking customers to access their banking accounts 24/7 without waiting in long queues. Mobile banking and internet banking have reduced the cost of banking and streamlined processes to deliver more value to customers. The key to gaining a competitive advantage is customer-centricity in banking applications.

Banking applications and software have complex structures which incorporate a wide range of features and ensure security to all its users, while ensuring a seamless and user-friendly experience. If a banking application is released full of bugs and errors with performance issues, it will damage the credibility of the bank. Banking has essentially become a multichannel provider, and a successful testing strategy is testing cloud, mobile, internet and other aspects of the banking applications to ensure proper performance.

Let’s look at the ten aspects that banking applications (mobile or internet banking) must consider while testing the platform

  • Total coverage of workflow and business requirements
  • The functional aspects of the application
  • The security aspect of the application
  • A fool proof disaster recovery programme to protect users from unfair practices
  • Data Integrity
  • User application, support service sectors and facilitate payments through multiple gateways
  • Integrate well with other apps, including billing apps, credit cards, and trading accounts
  • Fast processing of secured transactions
  • Increased storage capacity of banking apps
  • Be user-friendly, support users across all platforms and on all devices
  • High auditing capability to troubleshoot customer issues

Testing Internet banking platform and mobile banking platform for banking apps

While testing banking applications, one of the important issues to address is data complexity. Banking applications store all sorts of private information, data, passwords, and assets of the customer in the backend. The backend databases should not be affected by malware. Testing ensures that the data is protected. The bank should have an automation tool to check data connectivity continuously. Data connectivity testing is tested over a virtual private network continuously. This will ensure that the private data is safe. The following testing methods are recommended for internet banking and mobile banking platforms:


1) Privacy governance:
The most common privacy governance model that is used in data protection is a decentralised model where different business owners within the organisation are responsible for data protection matters within the scope of Indian data protection laws and   requirements, stay compliant and being proactive in solving issues. They should have expert knowledge of the data protection law and its governance and the ability to fulfil the tasks set out in the regulation. There will be various areas such as legal, IT and others involved in this process.


2) Functional testing
: The design and configuration of the banking apps have to be perfectly configured. In reality, many banking apps are designed and configured imperfectly.

The testers of the mobile and internet banking platform have to understand that all the modules and the system function as designed by developers while testing the app.


3) Performance Testing
: Performance levels consist of infrastructure, backward integration, and connectivity. Performance failures plague both internet and mobile banking. There should be regular administrative oversight of transactions happening during regular interim periods. Load and stress tests should be regularly performed so that transactions have multiple supports at the same time. The performance of the banking app comes under pressure during festival times. User experience is affected when there is a performance failure of the banking app. It could be as simple as cyber/IT failure leading to incorrect balances showing in the customer accounts. This leads to mass panic. The banking app must obviate such potentialities.


4) Integration testing:
Users use many different channels and internet connections, and testing should consider the fact that the performance of the banking app in different channels is uniform.  Banking apps should integrate with programs used by customers without difficulty and without creating hurdles and complexities. When different system modules interact on the customer’s mobile banking app, there will be bugs and errors, so the testing teams must be cautious about bugs and incompatibility impairing the performance. Some bugs are detected in the early stages of the software development life cycle. Bugs could be due to a broken database schema or a wrong cache integration. Integration testing is necessary to understand the variations in the developer’s logic against the software requirements. It is also necessary to validate the modules’ interaction with the third-party tools and Application Programming Interface. There is a multiplicity of mobile devices, used by the bank’s customers in the marketplace. The multitude of customer devices using different platforms and networks must be tested. As this is a complex process, the automation must be planned properly.


5) Accessibility testing
: Users of mobile apps may suffer from various physical problems which include being partially sighted, being dyslexic, suffering colour blindness, movability issues relating to their fingers, suffering from arthritis or other issues like using a small screen. The mobile app should be user friendly as much as possible. Testing screen readers, analysing colour ratios, html validator, inbuilt accessibility options, WCAG 2.0 checkpoints, site readability and navigation will ensure better accessibility.


6) Usability , Usage and Acceptance testing
:  Usability testing must bear in mind the needs and requirements of a different group of customers. The design of the banking app should therefore be simple. It should be tested among different groups of people as not all will have technical skills. The banking app should be user-friendly and easy enough to use so that even the luddite is able to use the banking app easily.
Acceptance testing ensures the mobile apps with their various features are accessible to the end-users and also for business needs. This type of testing could use a black box type of testing of end-users to make the app more user-friendly and accessible to end users.


7) Data Migration testing
: This testing checks whether all data has migrated with integrity from the source platform to the destination platform. This is particularly necessary when data is migrated from legacy systems to the newer applications. Testing has to ensure the integrity of migrated data.


8) Security testing
: Security testing is one of the most important aspects of testing the banking app. Banking apps are prone to fraud and phishing attacks. Vulnerability scanners and penetration testing can help in this process. Testing procedures must ensure that all international security standards are followed. The privacy governance in mobile banking apps is key as it interfaces with several other third-party applications. Trojan horses could be hidden in free games which can steal the user data. That is why several authentication factors are put in place before a customer can access his mobile banking app. The Operating system and network vary across various user mobile devices. Testing must adhere to all platform, network, and operating system security standards.

Mobiles are susceptible to theft and loss, malware, and malicious applications; there is also a lack of maturity in fraud tools and controls. There are also SMS, fraud, and operating system vulnerabilities. Testing should control these risks and ensure compliance with all security protocols.

9) Regression testing: Most banks are continuously innovating and adding new features to their banking apps. When mobile banking apps are modified, the changes can have unexpected consequences. Regression testing aims at making sure that no bugs or functionality impairments are caused due to such modifications. Regression testing is crucial for banking apps as they enable banking transactions and use the protected private data of customers. Therefore, regression testing of all updates to the mobile banking app is essential.


10) UI/UX testing
: In this type of testing the testers must make sure how buttons, fields, toolbars, colours, fonts, and icons respond to the user input. Testers need to make sure that the mobile app, software, or platform responds perfectly to the end-user.

Key Takeaways

Testing mobile and internet banking platforms can be a complex and demanding process but experienced users can employ strategies that can help banks and their clients secure a vulnerability-free mobile app and a user-friendly interface. The mobile banking app and the internet banking app solution provided by the bank should be a secure, user-friendly app which is free of bugs and errors, where the user can navigate between various pages/screens with minimum difficulty and make a seamless 24/7 banking experience a true reality. The importance of the role of testers and other software specialists in transforming this dream into practical reality cannot be understated.

5 Common Misconceptions About Test Automation

5 misconceptions of test automation

With the world moving towards digitalization, people expect things to swirl around in the blink of an eye. There is no room for manual errors and the time to fix those errors are even less. It only makes sense to shift to automation testing, as it has proved to be a boon and not a bane for organizations. Automation and automation testing have exceptionally benefitted industries with a massive customer base, voluminous data, less time for market launch, budget constraints, and fewer human resources. Maintaining quality assurance (QA) of companies’ software assets with automation testing is essential.

Especially in banking and financial industries, where companies cannot afford to go wrong with a loyal customer base, a large amount of data and fixed deadlines, automation testing is effective, cost and time efficient. Every time the QA team identifies a bug in the code, the testers perform a routine test across the application to ensure its quality. According to the Transparency Market Research report, the global test automation market is expected to expand at a CAGR of 15.4 percent by 2025. As per Transparency Market Research’s expectation, the automation testing market will grow from 30.45 billion USD in 2016 to 109.69 billion USD in 2025. With such demand and growth, there are bound to be questions. In this article, we will address the top five common misconceptions about test automation.

 What is Automation Testing?

It is a software testing technique that leverages specialized tools or automated scripts to automate the execution of test cases, making software testing more efficient. On the other hand, manual testing requires human effort in the form of sitting in front of the system and validating as well as executing each line to check for bugs. This testing methodology is beneficial because it automates repetitive operations and performs a few other testing techniques that would be difficult to achieve manually.

We can convert practically all manual testing into automation testing using tools and automated scripts. Test automation comes in the following forms:

Let us take a closer look at the various myths and misconceptions concerning test automation that users have.

 5 common Test Automation misconceptions:

  • You can automate all the test components: Test automation has proven to be an effective technique to reduce manual testing and tasks. That does not imply that the QA team can automate all their testing operations. We must remember that all automated testing is based on code, which is nothing but imitating manual tests. The QA team is aware of several manual parts that are not always possible to include in automated script-driven testing. Furthermore, testers are informed of which test segments to prioritize and which to test using automated testing.
  • Automated testing is more expensive than manual testing: It is only partially true. The company’s initial investment in automated testing is higher. Purchasing test automation tools or developing automated test scripts, as well as hiring testers to run those tools, are the expenses. However, this is a minor outlay that saves time and money in the long run. The QA team can save a lot of money if they implement automated testing adequately. Manual testing requires more testers and more time, extending production time and increasing the cost of testers, development efforts, and consequently, late product delivery. Over time, the company can differentiate between the execution costs of automated testing and manual testing. Time is more valuable than money. Hence, automated testing is not as expensive as companies believe.
  • Automating the test is easy: Every organization understands that development is challenging and time-consuming and implementing automated test tools and scripts is even more challenging. Enterprises and firms that can perform precise test automation can have a competitive advantage in the market. If an enterprise does not perform test automation well, it is more likely to lose money and time. Automation testing is not easy since the QA team must decide whether to use automation tools or design personalized scripts to make the test more productive. Many automated testing tools on the market are promoted and purchased on the assumption that internal testers will be able to use them without any training. The major attribute of such testing applications is the ability to automate the collection and replay of numerous manual test cases. When it comes to maintenance, the easy-to-construct aspect of the development is inherently brittle and challenging.
  • For increased automation, you need more engineers: This is another myth and misconception that prevails in the development industry. Adding more engineers or even testers to a test automation will rarely result in a positive development effect. In fact, a team of two or three testers can easily manage multiple test projects for a corporation as automation testing does not require much manual observation or human intervention. Again, the misconception is partially true because the team can perform a large number of tests in an automated manner initially. However, as the product under test changes, which is common in the rapid development ecosystem, a considerable amount of testing maintenance is required. More engineers are hired in this area. However, companies are limited in their ability to add more resources.
  • One must be a developer to write or perform automated testing: Yes, the company occasionally or once in 4 to 5 years requires a developer to write the automated test script. However, most test automation is practised using automated testing tools, which the testers can execute these test tools. Testers do not need to have hard-core programming knowledge and expertise. Just the basic knowledge of testing and programming and understanding of how to use those tools and apply them to various testing situations are all they need. The QA team must choose the finest testing tool for executing and supporting the automated tests. However, there might be situations where the testing tool available on the market does not meet the QA team’s requirements. In such scenarios, companies can hire automation scriptwriters or outsource the scripting project to third-party firms or freelancers.

 Conclusion

Delivering consistent product quality is critical to a software development firm. At the same time, firms should reduce the time it takes to promote a product. Automation is a boon for the development firm in this case. The software development and quality assurance industries should avoid the myth to understand the benefits test automation renders in the software development sector.

Yethi’s 5th generation codeless test automation solution, Tenjin is an enterprise platform. The robotic capabilities of Tenjin enable to learn and adapt to the application and its updates. Tenjin, is a plug-and-play banking aware solution, continuous testing, minimizing the manual effort and speed up the test execution regardless of the complexity and number of updates.

Risk-based testing for bug prevention to bug detection

The primary intent of conducting software testing is to uncover the bugs, assess them, and identify the associated risks. This approach will enhance the software cycle-over-cycle, mitigate risk, and allow smooth business operations to reflect an improved business revenue.

The testing volume increases faster than deploying the new functionalities. There is no need to test the old capabilities frequently to ensure that the new functionality doesn’t create any discrepancy in the system. Also, various stakeholders might have a different view of “risks” than developers or testers (not just probability of failure, but impact); hence, it becomes critical to carry out risk-based testing for bug prevention and detection.

Risk-based approach helps,

  • Identify high-risk areas
  • Direct testing efforts
  • Early detection for high-risk failures
  • Lower regression errors (no degradation in functionality that was working)

Testing of pre- and post-development codes help in identifying and resolving the bugs in the system; thereby, it will help mitigate risks quickly and efficiently. It is to be noted that risk-based testing is not limited to bug prevention and detection alone. After the complete code of the software is written, the testing experts can also identify issues based on their expertise, knowledge, and experience when the software is in the development or designing phase. However, no software should go without risk-based testing in the deployment phase, as it can cause technical issues or corrupt the database and applications.

Difference between Bug Prevention and Bug Detection

Bug prevention and bug detection in software are two different constraints with regards to the aspects of before the code is written and after the code is written, respectively. Bug prevention is the practice of discovering issues before the coding for any software is completed. With bug prevention, concerned individuals can rethink the design so that the code possesses the ability of risk mitigation.

On the other hand, bug detection is the practice of uncovering unknown risks during and after the code is written concerning the impact of other distinct constraints on code. Through bug detection, coding teams can make changes in real-time to enhance the scope of software utilization and avoid any probability of encountering issues.

Concept of Risk-Based Testing – bug prevention and detection

Risk-Based Testing can be explained as a basis of prioritization of the test cases that are to be conducted on software. By documenting the significance of function, its likelihood of failure and impact in case of failure, testers can focus their efforts on areas that can have a significant negative impact.

The process of bug detection comprises analysis, prevention, and management, which will ensure that all the bugs and defects are identified and resolved before the software reaches the final users and prevent it from causing any issues in their system.

Further, bug/defect analysis, prevention, and management practices ensure that all the bugs/defects go through a pre-determined life cycle to be fixed and closed. The nature of the bug depends upon the resources it uses, and the effects cause the software to behave abnormally. The goal of bug analysis, prevention, and management practices is to identify the root cause and treat them. 

The root cause of the bug occurrence generally contributes to the factor of the bug. It needs to be mitigated and resolved to eliminate all the probability of recurrence of the concerning defect. However, the coding team needs to make sure the elimination of root causes should be affecting the performance of the software in any way.

The bug prevention and detection in the risk-based testing process concern the risk containment and mitigation aspects for the risk management process. The risk management process ensures that software is prepared to mitigate the risk whenever it arises during the risk-based testing process. It is based on predetermined programming that can minimize the adverse impact.

Risk Monitoring and Controlling

Risk monitoring and controlling is the process of tracking all the identified risks, such as monitoring residual risks, detecting the new ones, assuring risk plan execution, and evaluating the software ability and effectiveness to eliminate the risks. The risk monitoring and controlling process works throughout the software development life cycle by recording the risk metrics related to the implementation of contingency plans.

While carrying out risk-based testing, 75% of risks arising in test cases can be monitored and controlled, whereas 25% of risks in the test cases may remain undetected due to lack of exposure to application functionalities. Risk monitoring and controlling is a continuous process as new risks may arise by adding new functionalities in the ongoing software development lifecycle. An efficient risk monitoring and control process aims at providing necessary support. It ensures that all risk-based testing practices and robust communication are adapted for making effective decisions to mitigate risks proactively.

Overall, it can be stated that risk-based testing and its varied practices and processes ensure that software is deployed for use by the final users without any bugs or defects. Risk-based testing carries out the practices for bug prevention, bug detection, defect analysis, defect prevention, and defect management for eliminating every possibility of software misbehavior at the user’s end.

Risk-based testing also documents every risk and its triggers so that a risk mitigation plan can be executed as soon as any risk occurs, or trigger is activated. Risk-based testing works in real-time as it starts with the planning phase of software and ends when software is deemed ready for deployment after all the testing. Real-time working of risk-based testing ensures that all the bugs and defects are eliminated from the root causes before they adversely affect the performance of the software at the users’ end.

Yethi is your go-to all your software QA needs

Even a minor bug can adversely affect the software quality putting the brand reputation at stake. An excellent testing process can improve the quality of the software. At Yethi, we follow a process of risk categorization and prioritization. We offer automated business process simulation for high-risk areas to increase the efficiency, accuracy, and consistency of the banking/financial software.

We select test scenarios based on importance to customer & security, financial impact, the complexity of business logic, and integration points. Being a leading QA partner for banks and financial institutions, we have touched base in over 22 countries offering QA solutions for more than 80 clients worldwide.

Yethi’s test automation platform, Tenjin, is a 5th generation robotic platform that can efficiently carry out even the complex testing process with ease. It handles test execution, test management, and defect management at various stages to ensure accurate test results with excellent performance without compromising the critical aspects.

Importance of Automated Regression Testing

As technology is advancing, the software gets subjected to various new and improved features. Such integrations may cause errors/bugs in the system not allowing it to function accurately. Hence, regression testing is conducted to test the entire software to understand its behavior upon the addition of new integrations and identify any bugs arising due to the same. This is true for even minor code changes or any alterations made across the process. Simply put, regression testing ensures that the software or the piece of code that was previously developed and tested still behaves in the same way after the code has been changed or altered.

Carrying out regression testing manually can be a tedious task, and due to its mundane and repetitive nature, manual regressions may not be fruitful. Hence, regression testing is automated to ensure consistency and accuracy while avoiding human errors.

Significance of Automated Regression Testing

Incorporating manual regression testing can be a draining experience as it involves a lot of time and effort. Further, its tedious nature is prone to causing high errors. With the ever-changing technology, the process is getting complex and manually handling regressions cannot be considered a feasible option. Including automated testing as a part of the product development strategy is what most organizations are doing today.

Automation testing yields the best outcomes with optimal time and resource requirements. It focuses on conducting accurate regression to create products of higher quality, which in turn will offer a seamless customer experience. It streamlines the process, improves workflow efficiency, delivers the effective solution, and speeds up turnaround time.

Benefits of implementing automated regression testing:

Saves Time and Effort: Automated regression testing can handle repetitive tasks effortlessly and efficiently in lesser time, hence, saving significantly on time, cost, and effort.

Reliability: Automating regression testing will reduce human errors considerably while ensuring accuracy and consistency on the outcome. Their accurate and consistent nature makes the process reliable compared to manual regressions.

Tests running round the clock: One of the major advantages of automating regressions is that tests can be initiated and executed any time, i.e., tests running 24/7 and results being generated constantly.

Cost-effective: The reusable nature of test cases significantly reduces the cost of test case generation, making the whole process cost-effective.

Improved ROI: Automating regressions may seem to be a little more expensive than including expenses for buying tools, initial setup costs, and investing in writing test cases. However, this maybe a one-time investment; it yields good results in the long run adding to improve ROI metrics.

Early detection of bugs: Testers will be able to spot problems and defects earlier in the software development cycle thanks to automation.

Steps involved in Automated Regression Testing

Choosing the suitable test cases

Choosing which tests to re-run for regression testing is a combination of technology awareness, clarity on requirements, and intuition. Whether you’re performing priority testing or subset testing, the goal is to increase the likelihood of triggering any regression that has been introduced. Choosing the right test case from the repository is the most critical step that determines the success/failure of the testing process. Choosing the right test case is an indication that half work is done successfully, the rest remain in executing it with the right tools.

Regression test execution

Before the advent of autonomous testing, ensuring that your tests are effectively scripted is a prerequisite for good regression testing. If a test requires the system to be in a specific state, try sequencing tests to reduce the number of times you must change the state. Make sure your test suite produces data that is straightforward to understand. It should be simple to figure out which cases were unsuccessful and what the system was up to at the time. Occasionally, you’ll see apparent failures resulting from incorrect configurations.

Maintaining regression tests

Like any other tool, automated regression testing is only as good as the people who use it. And, like any suitable instrument, it needs to be cared for and maintained. When new test cases are produced, consider whether they should be included in the regression tests. “Does this bug need to be added to the regression testing?” you should ask yourself whenever you patch an actual bug in your code. In most circumstances, the response will be “Yes.” You should, however, include tests that check the functionality of any new code paths.

Why Is Automated Regression Testing Right for Your Project?

Organisations build software applications to provide value to the customers. With time, these applications need change, or the developer may look to add more functionalities and features to the software based on the customer requirements. With each change in code or functionalities, the app becomes more and more complex. Hence tests for regression issues should be added more frequently with every update. Automated regression testing could be a boon for such organisations.

Here are some of the reasons why automated regression testing could be suitable for your project:

  • get higher test coverage
  • get continuous results
  • higher test efficiency
  • fast results
  • reusability of tests

Yethi for Automated Regression Testing Solutions

Yethi is the market leader in offering software QA solutions to global banks and financial institutions. Yethi’s test automation platform, Tenjin, is capable of handling efficient regression testing for complex banking and financial system. It has proven to offer nearly 100% accuracy in regression scenarios, and its half-a-million test case repository cuts immensely on the cost.

Tenjin is a 5th generation test automation platform with robotic UI capabilities which can automatically learn and relearn without manual intervention. It offers high test coverage and has the ability to test even the complex banking/financial system with utmost ease.

[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.

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.

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%.