Resolving Quality Issues Across DevOps Pipeline

DevOps has transformed the process of software development and testing. It is a multidisciplinary approach that brings together the development and operation departments together. This strategy leads to a cultural shift where professionals from both groups work together, thus, leading to better synergy, usage of automation across the board, and more flexibility. DevOps strategies lead to streamlining multiple processes, reducing errors, and building a faster and more successful deployment process.

The smooth collaboration between the development and the operations team offered by DevOps promotes quicker product delivery. Here, testing is performed alongside the development giving scope to identify bugs earlier in the product development cycle. This approach expands the scope of software testing and reduces the occurrence of bugs significantly.

6 Quality issues with DevOps and how to solve them

Performance Issues

Practicing continuous integration and deployment tends to make processes in any industry faster. However, sometimes a team’s performance could be slower with continuous deployment than with manual work.

Solution: DevOps team should analyze if their processes are efficient enough. Although automated processes are faster than manual ones, they still need to be analyzed to choose the right tool that will help them to meet their business goals.

Users should check if all the steps in their DevOps processes are necessary. Removing unnecessary steps is an excellent way to reduce complications and get consistent results. User metrics also helps to analyze the stages of the process, such as how much time each task takes. When analyzing metrics, it is recommended that the team figures out the maximum capacity. Some tools may not work fast enough, so they need to be replaced with upgraded technology.

Security Issues

Sometimes development teams could take shortcuts due to a production rush, either due to an extended holiday period or a huge deal. This could lead to a compromise of the system’s security. Huge incidents could lead to loss of billions of dollars and potential bankruptcy, and also affect the brand reputation adversely.

Solution: The team should maintain consistent security hygiene. This includes keeping access to vital tools for CI (Continuous Integration) and CD (Continuous Deployment) secure. Highly secure passwords are still the safest bet.

Contrary to popular belief, CI/CD jobs should be executed with the fewest number of privileges, not the most. If a hacker reconfigures a system that has more permissions than necessary, it could break the production cycle. When the system has been reset to safety, plenty of data could be hacked and stolen, leading to losses to intellectual and monetary property.

Separate Tools Set for Development and Operations Teams

One of the biggest challenges is the implementation of different sets of tools for both the development and operations teams. Identifying and synchronizing the differences between the two teams is vital for running a business smoothly.

Solution: Better collaboration would lead to increased productivity for the DevOps teams. Teams should strive to work towards a unified goal and be trained to understand how to achieve them.

A complete set of instructions and better communication would guarantee the best results. Data could be tested to see if the team has successfully deployed understanding the business problems, training tests, and work schedule maintenance.

Version Control Management Issues

The CI & CD processes are created specifically, keeping the company’s goal in mind. But sometimes, the software undergoes a major update, especially at the time of deployment, and everything could crash, or an urgent task could completely stall. 

Solution: One solution could be to disable auto-updates so that any impediments do not arise in the work schedule. The team must prioritize stability over the newest release date. During deployment, it is a better option to use the stable version of the software rather than the latest one.

In addition, we believe there should be a DevOps team that can be responsible for version control. They could maintain a record of newer versions and features and check to see if they can still support previous systems.

However, not updating the software for a long time can leave the DevOps team vulnerable to viruses in the system as well as outdated technology. While newer updates need to be analyzed, they should not be avoided and put to good use when necessary.

Regular Testing

If testing software is not well-strategized, or a wrong approach is taken to it, it can lead to problems in production and distribution.

Solution: Developers must take test results as seriously as possible. Sometimes, assumptions are made that some minor glitches during testing would not appear in real-time, but the company would have to pay a heavy price if something goes wrong.

Developers should deploy approval procedures for new features to prevent software with bugs from being deployed. They should also focus on writing automation and unit tests. Experts have suggested that as a bare minimum, DevOps should ensure that there are UI and API automated tests.

Finally, developers should test their optimizations regularly. Initial iterations could be lighter and faster to deploy. However, as one keeps adding more code, each optimization could become more complex and bring lesser value. Developers should approach it carefully, as the gains derived from optimization may not match up to the constant investments made to upgrade it.

Resistance to Change

Sometimes the organization may feel resistant to the idea of shifting to a DevOps setup. Proposing that the change is necessary may not go well with certain team members, who think that it reflects poorly on their current efforts.

Solution: Like any significant change, DevOps’ change would be gradual and not happen overnight. When employees are shown the importance of DevOps and given different essential roles that contribute to the development process, the DevOps culture becomes more ingrained.

Teams must find a product or existing application and replicate its performance in a DevOps setup. If employees can see the benefits, they are more likely to adopt the changes to employ the DevOps strategies.


In conclusion, we would say that while the DevOps pipeline can bring certain limitations, those changes are manageable and can help an organization soar to amazing heights post its implementation.

The Role of Tester in Security Testing

As the software industry is witnessing a major technological transformation, the development and testing processes have also seen major advancements. Not just the functional and performance aspects, but the security testing is also getting critical to ensure data safety and privacy. Security testing focuses on finding all possible attack points and vulnerabilities and prevent any negative impact on the application. It ensures a completely safe and secured product is delivered to the users, buyers, and stakeholders.

With security being an integral part of software testing, an evolving role of security testers is on the rise. Security testers also known as penetration testers, pen testers, assurance validators, or commonly referred to as ethical hackers, are recently gaining immense importance. Software security testers check the software for any potential vulnerabilities that might give way for the hackers to exploit the data. The security tester’s key role is to ensure complete security of the application and prevent any kind of data breach or security threats to the system.

Why is security testing important? What do security testers do?

Security Testing is a software testing process that allows to find out vulnerabilities in software applications and identifies risks involving loss of information, revenue, or the organization’s reputation. This type of testing focuses on identifying all possible loopholes and weaknesses that might result in attacks from intruders who attempt to breach the security system with mal intentions.

Consider a scenario where a user’s private information is stolen and exploited for inappropriate reasons. Such situations can be easily avoided by reinforcing elaborate security testing in place. Hence, software security testers’ core responsibility is to ensure the software is completely secured upon release and allows a great user experience without having to fret over the security aspects.

Software security testers form an integral part of the testing team as well as the overall software development and deployment team. They work alongside developers and QA managers and are responsible for performing vulnerability checks, penetration checks, and the overall security of the developed software. This boils down to creating test plans for every step added into a product release regardless of how big or small it is, executing those tests on specific date ranges so as not to affect other departments too much, reporting equally, and simply getting the job done right.

Key roles of the security tester:

  • Strategize, execute, and analyze the security tests to understand them from all possible perspectives
  • Evaluate the existing/new security policies and techniques to understand their effectiveness
  • Look for the existing security testing suite and thoroughly analyze it for efficiency and incorporate any changes or add new security tests if required
  • Ensure security testing is in alignment with the project lifecycle
  • Evaluate the security test report for accuracy, readability, consistency, and other related aspects
  • Set the objectives for functionality and technology and the associated vulnerabilities to evaluate the situation and come up with the best security testing approach for the best outcome
  • Able to think from the attacker/hacker’s perspective and try to secure the software from all possible malicious acts
  • Perform thorough risk assessment and come up with a new strategy to secure the system from future security threats
  • Analyze the systems for security loopholes and incorporate additional security systems for a completely secured system
  • Evaluate the existing security testing tools and choose the one that best suits the process requirement
  • Train the team and create awareness on information security

Types of Security Testing performed by software testers

Vulnerability Scanning: Vulnerability scanning is an ideal solution to prevent cyber threats and potential security breaches. With vulnerability scanning, software testers focus on identifying the presence of potential security vulnerabilities before disaster strikes.

Security Scanning: An information security expert performs security scanning by assessing available data, looking for any discrepancies or weaknesses. Such a scan can be carried out manually or using automation tools.

Penetration Testing: Penetration testing is one component of web application security verification and validation. Ethical hackers execute penetration testing to craft and deploy attacks on the security infrastructure in a controlled, systematic way to hunt down vulnerabilities that need to be patched.

Risk Assessment: Software testers conduct thorough risk assessments to identify risks and classify them based on importance.

Security Auditing: Security auditing is the practice of checking over source code to identify and neutralize potential vulnerabilities. It can also be called a line-by-line code audit, which the testers carry out with utmost diligence.

Ethical Hacking: Ethical hacking is different from malicious hacking. The software testers locate security flaws in the organization’s system through ethical hacking. .

Posture Assessment: Posture Assessment is a strategic approach, which the software testers conduct with an intention to help clients and companies determine their security status.


Software testers assist the product development and deployment team to verify the security parameters of the application. Furthermore, helping to increase security and minimize any unpleasantness for customers arising due to security reasons. In short, it helps to gain customers’ trust and improve the brand credibility, in turn, improving the business ROI.

Test-driven development – What is it, and how could it help you?

Delivering quality code in a small timeframe has become more critical than ever before. To increase their pace, organizations are moving towards integrating agile methodologies in their software development framework. However, this has resulted in organizations ignoring the importance of performing rigorous testing that leads to generating more bugs. This ends up taking a significant amount of the team’s time, which could have been utilized for working on the production or deployment of the product. Hence, to successfully tackle the issue of creating quality code at a rapid pace, test-driven development (TTD) has emerged.

Let’s understand test-driven development and explore its benefits and drawbacks, and how it can contribute to the organization’s overall success.

What is Test-Driven Development?

TDD is a software development practice that aims to create unit test cases before developing the actual code. It utilizes an iterative approach that combines refactoring, creating unit tests and programming. Deriving its roots from extreme programming and agile manifesto principles, TDD is a structuring practice that allows development and testing teams to procure optimized, resilient code in the long term.

Starting with designing and developing tests for small features of the product, the TDD framework instructs to create new code only if the automated test has failed. This helps the team to avoid duplication of scripts.

Steps for Implementing Test-Driven Development

TDD centres work around six simple steps that are repeated throughout the software development lifecycle. These steps ensure that the code is simple and efficient and fulfils the functional business requirements.

  • Writing the test

As the development in TDD is driven by a test, the first step involves creating a unit test. It should be effortless and only focus on testing a specific feature or component of a larger feature.

  • Running the test

After creating the test, the next step is to run it and confirm that it failed. This step enables to think about the requirements of the feature or section of a code.

  • Fixing the code

After the confirmation that the test has failed, the team should work on writing the code that will enable them to fix it. This step focuses on writing a test code that will satisfy the test conditions instead of writing the perfect solution.

  • Re-running the test

After creating the new testing script, the test should be re-run to check whether it passes the new test.

  • Refactoring

In this step, the team should refactor the code written in step 3 to integrate it with the existing codebase. The code should improve the readability of the test, distinguish it from logical parts, and rename or move variables and methods.

  • Repeat

TDD should be continued gradually to add features and functionality of the product. If all the test cases are small, the entire process, from writing a failing test to confirming a passing test and refactoring, can only take a few minutes. This helps to slowly progress towards a fully-realized feature, thereby, showing progress in the entire codebase.

Advantages of Test-Driven Development

  • Decreases the dependency on debugging

As TDD primarily focuses on creating the test case and only then creating code required to pass it, it further allows to dramatically decrease the requirement for debugging. Also, TDD helps to quickly identify and recognize a failing test as it advocates for a deeper understanding of logic and functional requirements during test case writing and coding.

  • Takes User Experience into account

Due to the nature of first thinking and then writing about the test, it should be fundamentally worked from backwards. It first considers the function that will be used, how it can be implemented, and how it needs to be written. Thus, TDD forces one to consider the functionality’s user experience elements and, therefore, the entire project.

  • Reduces overall development time

As per industry experts, when compared to the traditional, non-test-driven model, implementing TDD practices has helped organizations facilitate their total development time for a project. Even though the lines of code can stretch (because of the extra lines involved in tests), frequent testing prevents bugs and helps to catch existing ones much earlier in the process before they become problematic.


TDD shows the willingness of organizations to leave behind traditional approaches to software testing where tests are only run after the programming work is completed. It highlights the importance of testing when combined with development. This new approach gives a thorough understanding of how each part of the codebase works and assist them in catching errors before it’s too late in the development process. While it isn’t without its flaws, TDD’s benefits far outweigh its drawbacks if implemented correctly.

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.


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.

10 Best Practices and Strategies for Data Migration Testing

The immense digital growth witnessed over the last decade has moved digitization beyond being a mere business option anymore. It has become the driving force that allows organizations to sustain and succeed in this highly competitive world. Companies are constantly upgrading their legacy systems to cope with the ever-changing and evolving customer expectations. The upgrade often involves migrating the workflow process from an outdated system to a new one. Though migration might sound easy to achieve, migrating without losing any data is quite challenging. With advancement in technology, data has proven to become one of the most valuable assets of any organization. Data provides the right insights that help organizations make better decisions with a fact-based, data-driven approach. Hence, losing data while migrating to new systems can adversely affect the company; this is the key reason why data migration testing becomes vital.

Data migration testing is a verification process to ensure successful data migration to new systems with minimal disruption and data loss while maintaining data integrity. It also helps in ensuring that all the functional and non-functional objectives of the transition are achieved post-migration. However, not all data migration testing is effective enough to ensure all the goals are achieved. Following the best practices and strategies are essential as well as using appropriate data migration testing tools is important to make the migration successful. These best practices will help companies get the desired results from the tests.

Best Practices and Strategies for successful Data Migration Testing

Data migration errors can lead to adverse business and compliance risks that can make any company easily vulnerable to cybersecurity attacks. A thorough data migration testing can minimize the chances of errors and make the new systems more resilient. Here are the best practices to follow while performing data migration testing:

Multidisciplinary team approach

Having a comprehensive testing team is the foundation to ensure successful data migration testing. The team should consist of IT, management, and user community experts. The team members should have the right skillset and expertise to conduct the testing. To get the best outcome, it is important to verify their experience and train them on the source and destination systems.

Data backup

Data backup is critical during migration. In an extreme scenario, when the migration doesn’t go as expected, the process may lead to data loss. To avoid any potential data loss, it becomes mandatory to have a backup that will help in restoring the data under unexpected circumstances.

Analyze the Risks

Conducting an in-depth risk assessment and analyzing the results form the basis of a data migration testing strategy. The assessment should cover all the systems that would be involved or impacted by the migration. This will help analyze if the business would be hampered after the transition to the new system. Additionally, it will also help discover risks and implement mitigations for the same.

It is also recommended to have meetings with the right stakeholders, including business owners, product owners, test managers, analysts, etc., as a part of the assessment.

Create and Review the Scope of Migration

Plan and build a roadmap for the complete scope of migration specifications. Mostly organizations build a roadmap for implementing the migration but do not cover the entire scope. This should be done with the user community, IT team, and testers to include everything/everyone associated with the project. Also, understand that the scope can be reframed as per the needs pre-and post-migration.

Don’t Wait Until the End for Testing

Waiting till the end for testing can cost you a fortune. In case you find errors in the initial stages, the cost is relatively less. Even minute errors found in the end may require a complete roll back and re-migration. Also, during this process, the chances of data leakage and downtime increase significantly. Hence, it is recommended to conduct data migration testing at frequent intervals during each phase.

Detect Likely Sources of Errors

The testers need to detect as well as, to some extent, predict the likely sources of migration errors based on their experience. Hence, it is crucial to have someone with immense experience in the team. The sources and errors will also help define appropriate strategies to mitigate the known and likely errors to help the team stay ahead and be ready for any challenges faced during data migration testing.

Use Appropriate Data Migration Testing Tools

Having the right set of tools is vital for effective migration testing. You can use any of the following types of tools:

On-premise tools: On-premise tools transfer data from one server or database to another within the organization.

Open-source tools: These tools are free to use but require the knowledge of the underlying programming language to use them. Open-source tools are best used when the migration project is small, and the testing data is not enormous.

Cloud-based tools: Cloud-based data migration testing tools are the latest developments in the migration testing fields that enable a secure data migration to the Cloud.

Complete Pre-Migration Testing

Pre-migration testing occurs during the early stages of the migration, even when the migration is not yet initiated. As a part of pre-migration testing, you should cover the following tests:

  • Verify the scope of source and destination systems
  • Define high-level source and destination data requirements mapping
  •  Test the source data against the requirements of destination systems
  • Test unique links between source and target records to ensure a definitive mapping

Complete Post-Migration Testing

After completing the migration, it is essential to conduct post-migration testing, which should include:

  • Testing target systems throughout
  • Compare migrated, and destination systems generated records
  • Compare all the source and migrated data records (Automation tools are  recommended to detect even unlikely errors)

Conduct User Acceptance Testing

It is vital to check if the users for whom the migration is conducted can leverage it optimally. If the migration is making their daily work more challenging, it’s of no use. During the user acceptance testing phase, you should allow the users to interact with the legacy data through the new systems, even before initiating the production migration. This would allow for a quick rollback if the migration were not successful. If the user acceptance testing does not highlight any issues, post migration testing can be considered and data migration testing for it can be performed.

Have Clear Testing Documents

From the first test, it is important to create clear and concise documents for everything. The documents should specify the test approach, scope of migration, tools used, testing methods, methodology, etc.

Why Choose Yethi for Data Migration Testing?

Yethi is a leading QA  provider for global banks and financial institutions. We understand the need and importance of data migration testing that helps us cater to the needs of every business, regardless of the size and complexity of the source and data systems. Additionally, we also have the right expertise and data migration testing tools required to ensure effective testing. With our technical and functional audits, you can rest assured of having fully functional new systems without data loss post-migration.

Why Developers Prefer Codeless Test Automation?

With the exponential growth and advancement in technology, the software development industry is experiencing a massive change in the development paradigm. As the software development is advancing, major transformation has been witnessed at the testing front to ensure higher quality of the end-product. Further, the advent of DevOps and Agile methodologies have brought significant transformation in the testing industry. From manual software testing legacy to automated testing – software testing has traversed a long path of evolution. Codeless test automation is the next generation technological change in the software testing domain. With a wide range of benefits it offers, codeless test automation is the most preferred by  developers across the globe.

What is test automation?

Test automation is a popular testing approach that leverages automation techniques and tools. Instead of using a manual procedure for validating the software execution, it uses automated tools that increase efficiency with faster time-to-market. Some common types of automated tests are integration testingregression testing, smoke testing, and unit testing. All agile software development processes require automation testing.

What is codeless test automation?

Software testing has always been a bane while developing software products. With the onset of the codeless test automation era, the associated hassles and risks have been reduced to a significant level. Codeless test automation or codeless auto-testing or codeless automation is a continuous testing technique that renders creating automated tests without composing a single line of code. For large software projects that require frequent release cycles, writing scripts for testing & devising a test environment takes a long time and resource. That crushes the goal of DevOps continuous testing and auto-testing. At this point, codeless testing comes to the rescue.

Codeless automation allows the team to automate the process of writing test scripts without any code. It ultimately helps the team to focus on the quality of software testing while reducing the hardcore coding process. In addition, codeless test automation makes testing scenarios easy to use by reducing the time that requires almost no coding efforts.

Why Developers Prefer Codeless Test Automation?

Carrying codeless test automation is not utterly code-free. However, there is a plenty of reasons why developers go with codeless test automation while developing products through continuous testing techniques.

  • In the case of DevOps continuous testing, writing scripts for test automation multiple times defeats the purpose of rigorous auto-tests. It is because writing the scripts increases the time-to-market of the product. On the other hand, codeless testing expedites the testing process where the team has to deliver little effort on automation. Thus, it helps developers focus on product operation and innovative approaches.
  • Software testers are not necessarily hard-core programmers. But considering the instance that testers should know a good level of coding makes it problematic. So, software development firms can leverage codeless test automation to increase test coverage with zero coding skills for testers.
  • Codeless testing is a quicker way of delivering a product. It makes the entire software development process cost-effective. It ultimately diminishes the developer’s hassle with the testing team.
  • Codeless testing solutions have a user-friendly interface. That makes it easier for testers and developers to accelerate the testing process in the software development life cycle.
  • Error in the test script delays the product development process if you follow the traditional automation testing. So, to help developers and testers work in spontaneous flow, codeless testing is advantageous.
  • Traditional QA testing tools take days or even weeks to create automated testing scenarios. For avoiding complex codes and frameworks, testers can leverage codeless test automation. That makes the testers work in parallel with the DevOps team, and hence developers can fix the bugs promptly and accelerate the production process.

Benefits of Codeless Testing

Codeless testing not only interests the developers but also gives testers and companies a satisfying experience. Here are some of the benefits of codeless testing.

  • Continuous testing demands repetitive product tests. Through codeless testing, testers can evaluate the functionality without manually writing the test scripts.
  • It allows testers to create test environments with zero coding skills.
  • Codeless Automation Tools allow generating test reports easily.
  • It allows smooth integration of bug tracking tools and effortless management of complex tests.
  • This technique allows testers to learn and use such tools efficiently, as it does not require any programming background.
  • This kind of test automation also renders visual UI workflows that innately follow current business rules. Thus, it makes testing scalable and easy to alter under different test scenarios.
  • Codeless testing is highly compatible with the software development lifecycle. In agile and DevOps methodologies, codeless automation tests make continuous testing quicker and more effective. Since testers don’t have to write a test script, it matches the pace of the development cycle for continuous integration.
  • Codeless automation tools also render the visual description of a process. Hence, the documentation process becomes effortless. Such testing makes documentation through logs and videos by utilizing advanced testing practices.

How does Codeless Automation tools help developers?

Codeless automation tools help testers to perform quality assurance checking faster. It ultimately aids developers in dealing with bug-fixing things before product deployment. Such automation tools also come with a friendly interface supporting the drag and drop feature. The record and play method is the most popular codeless technique utilized in web-based product development. For DevOps engineers, such tools allow rapid DevOps continuous testing. Due to the high scalability and integration, codeless automation tools can easily integrate with ML or AI technologies. Such integration makes development even faster.


Codeless testing has an overabundance of benefits that outweigh the drawbacks of general automation testing. Its adaptability and easy integration make it the ideal fit for agile software projects. Since codeless testing eliminates scripting, project delivery becomes faster even with a confined scope and tight deadlines.

Yethi is a niche QA service provider that leverages the capabilities of codeless automation for the BFSI industry. Yethi’s test automation platform, Tenjin, is a 6th generation tool that can effortlessly and efficiently carry out the testing of all functional and non-functional parameters. Thereby, allowing banks and financial companies to offer a seamless customer experience with accurate and consistent results.

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.


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.


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.


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.


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.

Payment Systems: Constant Change and Compliance

One of the major responsibilities of a bank is to enable payment on behalf of its clients. Banks are significantly investing in payment and payment-reconciliation platforms to offer a seamless customer experience. However, with the growing trend of digitization, the entire payment system has witnessed a shift from traditional approach to digital platforms. This increase in digitization has allowed banks to rapidly innovate to keep up with client and regulatory demands.

The structure of the payment systems in banks is multi-thread and multi-channel, where the payers transfer funds and values to the beneficiary through various methods. We can classify the payment systems in two ways, ‘large value payment system’ and ‘retail payment systems.’ The retail payment system, which summarizes the modern payment system, can be depicted as below:

The roadmap of payment system, how is payment system changing and evolving?

As technology is evolving, the traditional methods of payments like cash, cheque, and other paper-based payment are diminishing. Even if we have not eliminated the use of cash and paper-based payments, real-time payment is certainly redefining the payment systems in the modern times, changing the entire way of how payments were done in the past.

Let us take the Indian payment scenario where a large and geographically dispersed economy has a higher number of transactions made every single day. With this scenario, India’s payment system needs are highly demanding, where a significant number of B2B, G2C, P2P transactions, and paper-based payments become inefficient and expensive. Digital payments are the only way to improve the efficiency of transactions for an economy like India.

Today, India’s payment system is considered to be safe, efficient, secure, vast and are adequately regulated and supervised. The transactions and fund transfers occur through various channels and sources. This is only possible due to the high degree of digitization.

Today, along with cash transfer, cheque transactions, and direct payments, digital payments are used for utility payments, taxes, mobile recharge, paying mobile bills and more. Digital payments are increasing with the increase of payment channels. Smartphones have empowered digital payment options like e-Money and Unified Payment Interface.

The growth of the regulatory framework and innovation in the technology landscape within banks and e-commerce now allows fintech companies to compete for service delivery in market niches. In India, the digital payment options changed with the sudden growth of e-Money, UPI, Aadhaar Payments Bridge System (APBS), RuPay, Bharat Bill Payment System (BBPS), etc, adding greater accessibility and convenience to the end-users.

The roadmap of digital payment systems comes with startling discoveries of their capabilities. Moving beyond Electronic Clearing Services, Fund Transfer, RTGS, Internet Banking and Mobile Banking, the payment systems have further revolutionised into open banking sources and opportunities such as Payment Services Directives PSD2, open banking, SWIFT, and more.  With governments adopting electronic payment processes, huge efficiencies / ease of business is being achieved within G2C services. 

Since the volume of debit and credit usage at the PoS (Point of Sale) has increased by a CAGR of 40% from 880 million in 2012 to 4799 million transactions in 2017, we may take an example of technology embedded in debit and credit cards to understand how the payment system is evolving.

Following are the steps taken to improve the card-based payment systems:

  • In the need to automate the process, magstripe was added to the already embossed card
  • To reduce the fraudulent use of cards EMV chip was installed
  • To enhance the speed and convenience, contactless chips were added
  • The banks further needed to go beyond payments and virtualize or improve contactless payments by introducing NFC-enabled card

Maintaining the regulatory rules and protection policies of Payment System

With new technologies and innovations that is bringing fast changes in the electronic payment system in banking, financial institutions are gearing up to meet their end-user expectations, which also includes ensuring end-to-end security of their payment systems and platforms. Banks need to make sure that their payment systems are compliant with all the regulatory rules and protection principles. To enhance the safety, transparency, accessibility, and efficiency for their customers, banks are developing faster and offering improved payment services.

To facilitate faster payment processing, settlement, and real-time views of cash positions, B2B is using SWIFT ISO 20022 regulatory rules. This international Unified Payment Hub supports ISO 20022 and is a real-time, cross-border digital payment solution, which can help to track transactions anytime and anywhere.

A few of the payment systems are volatile because of huge transactions and sensitive information involved in the process. We may take systemically important payment systems (SIPS) as a perfect example of a complex transaction. It is a European large-value payment system, which is significant to ensure the financial stability of the country due to its transaction volume, market share and cross-border relevance. SIPS is subjected to regulation and monitoring by the European Central Bank.

Testing of Payment system and why is it necessary

The payment system architecture is broad and varied, where systems and applications are extremely complex. Organizations need the most robust testing mechanism to ensure that the systems are fully equipped to handle National and International transactions and remittance. Following are the types of testing which is essential for the payment applications and systems.

  • Functional Testing – Functional testing of the payment system provides a clear idea if the payment system is meeting the business requirements with its predefined functions.
  • Interface Testing – It is important in the payment system as it verifies if the accurate outcome is obtained based on the communication between two different systems.
  • Performance Testing – Performance testing is conducted to test the speed, response time, stability, reliability, scalability, and resource for the payment systems.
  • Network Security Testing – It is conducted to mitigate the security risks, meet the industry standards, and launch product ensuring the network security of the systems.

The testing of domestic and international payment systems is crucial for Quality Assurance of the entire payment architecture. There is a greater liability on the payment platform as a huge volume of transaction takes place on these platforms every day. The national and international banks or finance organizations must follow certain clearing protocols and must remain compliant with the regulation to ensure a smooth transfer or remittance from one account to another within the stipulated time. Testing of payment systems is imperative to facilitate these transactions without any technical glitches within the committed time.

Yethi’s role as a testing partner

Yethi is a niche QA service provider for banks and financial institutions across the world. With about 400+ domain specialist and extensive knowledge in banking/financial software, Yethi has partnered with 90+ clients across 22 countries by offering them outstanding testing solutions and services. From functional, interface, performance to security testing, Yethi specializes in conducting end-to-end testing of payment system to ensure smooth national and international fund transfer and transactions.

Yethi’s testing services cover various channels of payment systems such as Internet Banking, Mobile Banking, Branch and Agency Banking and various networks such as RTGS (Real Time Gross Settlement), IMPS (Immediate Payment Service), NEFT (National Electronic Funds Transfer), AEPS (Aadhaar Enabled Payments Systems), UPI (Unified Payments Interface), SWIFT, SEPA, Wallets, Card Payments, ATM/POS Transactions, and more.

Yethi’s proprietary codeless 5th generation test automation platform, Tenjin, is easy to integrate and deploy with the systems and platform and undertakes test execution using the application UI and API. Further, a test repository of more than half a million test cases comprising of simple and complex test scenarios helps in saving time, money, and resource strength by 40%.

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


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.

Why Independent Requirement Validation Reduces Uncertainty

Collecting and analyzing requirements is one of the crucial stages of the software development process. Requirement validation involves evaluating the idea and defining the project requirement clearly and concisely. It is an important part of the software QA which addresses the requirements of test cases and other testing processes. A well-defined requirement process will significantly reduce the occurrence of avoidable errors and bugs. The key importance of requirement validation is that it provides a vision of the final goal and encourages to work towards a unified aim to achieve expected results. By having a clear vision of the project requirements and validating them thoroughly, uncertain situations can be reduced or eliminated.

Requirement validation is a disciplined application of proven principles, methods, tools, and notations to describe the intended behavior of a proposed system and the associated limitations. It provides an appropriate mechanism for understanding customer needs, analyzing requirements, evaluating feasibility, negotiating reasonable solutions, specifying solutions, validating specifications, and managing requirements while transforming them into a functioning system.

To carry out the tedious and elaborate requirement validation in a meticulous way, the requirement traceability matrix (RTM) is used. A traceability document helps to map and trace user requirements to achieve a certain level of testing.

Requirement traceability matrix is a five-stage process that includes:

  • Feasibility study
  • Requirement assessment
  • Analysis of requirements and specifications
  • User requirement validation
  • Defect verification management

Requirement validation is evaluating project requirements and listing out the problems and coming up with agreed-on measures to identify them. Requirement validation is used to verify bugs in the initial development phase, but the bugs increase when excessive rework is discovered later in the development process by either manual or automation testing process.

Everything to know about requirement validation

Requirement validation is similar to the process of requirement analysis for checking and recording requirements. It can be summed up as, requirement validation being the process of examining the final draft of the requirement document, while the requirement analysis examines the raw requirements of the system, stakeholders, and users.

Formal and informal functional and non-functional requirement documents are provided for the next phase of processing. Requirements are identified to help the customer with the existing systems and processes.

Requirement Assessment

The process of identifying the requirement for a software system and communicating with customers, end-users, system users, and others involved in its development is known as requirement assessment. The process of verification of requirements is defined in the system according to the customer’s request. It overlaps with identification and analysis when it comes to tracking problems in the requirements.

It is desirable to detect errors in requirement before the development and design of the software starts. Requirement validation is important because errors in the documentation of requirements can lead to extensive follow-up costs when discovered early in developing a system or service. The cost of resolving a requirement problem before the system changes is greater than repairing a design or code error.

Process Flow

The process of verifying that a software system complies with the specifications and requirements to fulfil its intended purpose is the responsibility of software testers. It is a part of the lifecycle of software development. Software verification ensures that you build it correctly and confirm that the software product meets the developers’ plans. The development process of validation can be seen in the form of validation of specific user requirements at the end of the development process, which corresponds to internal and external validation of the software.

Validation Metrics

Validation is the process by which engineers ensure that the solution meets the needs of stakeholders. The technical elements are validated based on specific references and comparisons such as stakeholder requirements, system requirements, and functions of the documented system elements. Validation techniques are same as verification, but their purposes are different. Verification is used to detect errors and defects, while validation is used to demonstrate the evaluation of the system and stakeholder requirements.

Validation Traceability Matrix

The validation traceability matrix has been introduced to the topic of requirements definition for stakeholders. It can be extended to capture data such as validation actions and lists of selected validation techniques. It is used to validate the implementation of technical elements, stakeholder and system requirements, and, in particular, the expected results achieved from those actions carried out.

Once the software is installed, the client receives a developer reference. To ensure that the client is well aware of the requirements, the developer creates a prototype based on the specific requirements. The team behind the system, the customer collects the system requirements, the developer negotiates with the customer to solve the problem, and errors are found. If the rapid design system fails to validate the requirements, it is refined and checked by ensuring that it meets the customers’ needs.

Execution Strategy

The review team carries out a systematic analysis of the requirements, consisting of software engineers, users, and other stakeholders. It reviews the specifications to ensure that errors, omissions, and inconsistencies are identified and corrected. Once they do, they draw conclusions that help formulate the requirements expected of the software.

Once the audit is completed, it is time to complete the validation tests to confirm the accuracy of the requirements. The verification process is the same, and it allows to get a quick check before getting deeper into the product development process.

It ensures that the requirements meet the business objectives and relevant stakeholders’ needs and are well understood by developers. Understanding the difference between verification and validation and how to use it in product development can help reduce costs, increase efficiency, and deliver a product that meets users’ needs better. Validation is crucial in identifying missing requirements and ensuring that requirements have a wide range of essential features.


Verification is a test that evaluates to check if the program has been built according to the specified requirements. It is possible to conduct internal static tests to determine whether the software meets the needs and specifications. The requirements are validated when the software product is ready for the waterfall development process, which requires design at the beginning of the iterative development process and is not defined later, enabling continuous improvements.

Yethi’s efficient requirement validation process

Being the market leader in offering QA services to global banks and financial institutions, Yethi carries out requirement validation before starting the testing process. This helps in avoiding any errors that could have a huge impact of the banks/financial institutions due to the sensitive financial data involved. Strict validations also help in mitigating any associated risks with respect to performance and security. Further, Yethi’s RTM covers validation of all related documents and process to ensure all the test cases and other testing procedures are covered.

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.


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!


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.

Testing of structured messages in the BFSI industry

Communication between banksfinancial companies is a critical process as it involves the exchange of sensitive financial information. Let’s take, for instance, a person transferring money from one bank account to another. The messaging systems of the first bank (originating bank) should be efficient enough to send a credit message instantly and securely to the other bank (beneficiary bank), which will update the exact amount of money credited in the beneficiary bank, in the required account. These interbank messages are referred to as structured messages; it is used for secure communication between banks. In case the messaging system is compromised, the message may not reach the bank and lead to discrepancies in updating the credit amount. The bank is liable for such discrepancies; these are high-risk scenarios and will require the bank to face legal consequences or pay a hefty fine.

With increasing globalization, cross-border payments are on the rise; this scenario involves transactions where the payee and recipient are based in different countries. These payments have been standardized and simplified via structured message protocols, adherence, and quality. A structured financial messaging system (SFMS) regulates the intra and inter-banking messaging system to help the banks send messages instantly, accurately, and securely. 

Why testing is important in interbank messaging system? 

Testing of interbank messaging systems is a critical process. As the structured messaging system consists of complex software development process to make transfers simple and efficient, a thorough testing is required to ensure the system works without any fault. The efficiently tested messaging system will work perfectly and aim at creating a system that sends and receives messages quickly, accurately, and securely. Inter and intra bank testing is monitored by Institute for Development and Research in Banking Technology (IDRBT). 

The messaging system is designed to send the financial information or any other details/ instructions through standardized codes. These unique codes used by the banking/ financial sector are encrypted and consist of characters in digital format. The codes are standardized as per SWIFT (Society for Worldwide Interbank Financial Telecommunications), SEFA ((Single Euro Payments Area)), ISO 8583, and so on. The testing process is conducted to make sure that the codes are standardized and works instantly and accurately.

Criteria for interbank messaging: 

  • Real-time information and instruction matching between the sent and received messages. 
  • Real-time monitoring the message activities, trade flow, and reporting. 
  • Test Know Your Customer (KYC), Sanctions, and Anti-Money Laundering (AML). 
  • Secured and scalable network for easy sending/receiving messages. 

SWIFT network offers international money transfers and is often referred to as ‘wire transfers.’ It establishes a series of processes to standardize international payments, thereby, allowing banks to conduct business operations with speed, agility, and confidence. 

Test automation for structured messages in banking/ financial sector 

Test automation is essential while testing structured, interbank messages to ensure higher accuracy and performance. The test automation tools like structured data testing should be efficient enough to carry out the testing and also be in compliant with SWIFT to ensure a smooth inter messaging system. It should also incorporate ISO 8583 to check the overall quality of the messaging system between banks. Such incorporations to test automation reduces the risk of bank message processing. 

The testing process of interbank messaging involves: 

Messaging system is a part of test automation that is directly related to financial implications. Any discrepancies are of high risk to the business process flow. Hence, it is crucial to have thorough testing of message exchange between the parties and validate it to ensure that the messages are cryptic and there is no scope for any further mismatch or inconsistencies. 

Tenjin’s structured message testing for banks 

Yethi is a niche QA service provider who is redefining quality assurance in the BFSI industry. Its test automation tool, Tenjin, is codeless, auto adaptive, and agile that offers the perfect solution for inter messaging system for the banking and finance industry. Structured message testing is a complex process that can be eased with Tenjin; when a fund transfer is initiated through internet banking, online banking, or other means, it checks the core banking for transaction and later carries out testing to check if the message has reached the target bank accurately and securely.

Uncertainty and innovation at speed in banking

The banking and financial landscape is undergoing a huge transformation to support the continually changing customer behavior, which is determined by the changing uncertainty. Uncertain situations, like the COVID-19 pandemic, have driven banks and financial companies to innovate in order to succeed. Organizations are leveraging the power of technology to cope up with these times of changing uncertainty. 

The rapidly increasing COVID-19 situation has led the banking and financial sector to strengthen its digital transformation journey. Companies are redefining their operating models with more agile and practical systems to support the complex digital workflows and offer a smooth user experience. They are utilizing an innovative approach to establish new business models, which will, in turn, require advanced test automation practices to identify any associated discrepancies or risks. Test automation is an integral part of any innovation; it is much more than a mere QA check, it offers huge scope to improve the product quality and establish a unique brand. 

How uncertainty encourages banks/financial companies to innovate 

Like the 2008 financial crisis or the ongoing COVID-19 pandemic, uncertain situations have always had an immense impact on the banking and the financial sector. Being the core part of the global economic growth, the BFSI sector should strengthen and prepare itself for any kind of market, economic, natural, or political uncertainties. Only organizations that thrive in these situations and offer an unparalleled user experience even under the worst scenario can succeed, while others lose their existence. 

Innovation is the only key to sustain and succeed through uncertainty. It allows organizations to come up with new techniques, tools, and models that will be most appropriate to the new scenario. For example, the COVID-19 pandemic had restricted people visiting banks, which led banks/financial institutions to be a part of the digital revolution. Organizations started innovating their systems/processes to make it digitally available for their customers. This trend of digital innovation in the banking sector created an array of opportunities to improve all their systems. Hence, any uncertain situation can be easily converted to a favourable one by utilizing the power of innovation. 

Innovation and test automation: How are they connected?  

Innovation comes to the rescue during uncertain situations, but the question is how reliable the innovative approach is? The reliability of any innovation lies in the quality of the end-product/service. The only way to make any innovation work both for the banks and customers is to ensure the quality is exceptional. Performing test automation of the new banking/financial process will identify any errors and allow the developer to fix them before its launch. If innovation is inevitable to succeed during uncertainty, test automation is the key to make innovation successful. 

The technological innovations in banks and financial institutions are revolutionizing the entire banking/financial system. However, they are mostly associated with operational and infrastructural flaws. A good test automation strategy can help organizations to identify any errors offering a flawlessly working system to their customers. This process of performing testing improves the user experience, creates brand credibility, and increases business revenue.  

The current challenges faced by the global software testing fraternity 

The current market scenario, which is rapidly changing, demands organizations to incorporate QA processes that can support the high market volatility. Though organizations are already on the path to develop intelligent test automation solutions (some of them are already made available), there are many challenges that are being worked on. Some of the major test automation challenges faced by banks and financial companies are: 

Test case generation issues 

Banks and financial institutions offer a wide range of complex, financial services such as money transfer, savings management, loan origination and completion, credit card management, real-time updates etc. These are highly complex processes involving sensitive financial data, hence, there is no scope of error offered to the organizations. Further, the organizations are required to ensure complete privacy and security to avoid any kind of violation. With so many critical parameters involved, the organization should have ample data to generate a good test case repository and help save time, cost, and effort. Creating the right test cases will help banks and financial companies to improve their QA process considerably, whereas a set of poorly written test cases still remains a major challenge for a company’s growth.  

Performance failure scenarios 

Banks and financial institutions have thousands of customers accessing the organization’s system, all at one time. Any failure in the performance can even cause financial losses and destroy the brand completely. It is important for organizations to monitor their system performance to ensure a seamless user experience. Though banks and financial companies are investing in improving the stability and scalability under high traffic, unexpected performance failures remain a matter of concern, even today. 

Longer time to perform test execution 

Automated testing system performs regression testing every day at a particular time to ensure there is no discrepancy. Undoubtedly, test automation has reduced manual effort considerably by automating the entire process, however, the run time is still high and one of the challenges the banks are facing today. Reducing the test execution time will be a major milestone that is being solved with intelligent automation. 

Regulatory and security concerns 

The increasing scenario of cyber threats has led to strict regulatory laws, it is important to integrate a test automation solution to comply with the financial regulations. Test automation helps in a thorough audit to reduce/eliminate the chances of increasing fraudulent. Excellence in test automation is important to succeed while ensuring there are no significant breaches. 

The changing trends of test automation in banking/financial sector 

Gone are the days when people had to visit the bank for even simple money withdrawal, digitization has changed the way banks operate. The entire banking/financial process can be completed with a few clicks, at the comfort of home. No longer queues or no more taking a personal day off to complete a transaction, banks are coming up with innovative and practical solutions to ease the complex financial processes. 

Test automation has redefined the modern QA system, emerging as a key facilitator for the success of any organization. The testing framework has evolved over time to ensure that quality remains the prime interest. Organizations are now preferring agile test execution methods to support the advanced continuous integration and continuous delivery pipelines. The improving emphasize on quality can help organizations to brace themselves and face unexpected scenarios. 

The emerging trends in test automation that can help organizations emerge as future-proof and offer great business solutions are: 

  • Codeless test automation: Automating the test without the need for extensive coding. 
  • Shift left testing: Incorporating testing at the early stage of the software development lifecycle. 
  • Cloud-based testing: Testing software using Cloud-computing services. 
  • AI-powered test automation: Leveraging the power of Artificial Intelligence to perform testing. 
  • Mobile test automation: Automation testing for native and hybrid mobile apps. 

With the growing technological advancement in the banking and financial sector, it can be concluded that the need for test automation will remain the priority. Testing teams in collaboration with the development teams are planning well-established, well-aligned, agile, and practical solutions that will redefine the concept of test automation for the better. 

The future test automation models: Innovation is the key 

Uncertainty in the market scenario has redefined the banking experience. Banks and financial institutions are strengthening their market presence with agile solutions to support future models. Major emphasize is being laid on the test automation solution to improve the customer experience which will, in turn, increase the business revenue tremendously. This new trend of improved QA has made way for efficient business models, which is possible only by an innovative approach. 

Innovation in software testing allowed the evolution of tedious manual testing to easy and much efficient test automation solutions. Innovation is the key to reimagine the test automation models for advanced and intelligent solutions. AI and ML integrated models are already making their way into the market to create future-proof technology, more future solutions are in the pipeline. 

How to Successfully Manage Outsourced QA

In recent times, globally, QA outsourcing has become a common practice across large and small organizations. But why do companies outsource testing?

Software QA Outsourcing essentially means hiring another company or individuals to perform software testing, primarily for the following reasons:

  1. The company wants to focus on their core competency
  2. The company lacks expertise in testing
  3. The company cannot afford to hire/train new resources

Benefits of outsourcing QA

There are many advantages to outsourcing testing to other companies/individuals. Since the organization is handing over the testing related tasks to an independent test specialist, it can be safely assumed that the project is manned by people who are not only experts at their job, but also provide an unbiased reporting of defects.

Since the QA vendor focus on their core competency i.e. testing and the business owners can utilize their internal resources for core business activities. This increases efficiency reduces cost and ensure wider test coverage.

Organizations can also leverage the global experience of their QA partner and incorporate global best practices.

With advantages, there come some challenges.

One of the main challenges of QA outsourcing is to break cultural barriers which could lead to miscommunication. This not only refers to different languages but also the work ethics and company policies. This problem intensifies in Offshore Testing and can avalanche into reduced control over the project.

QA outsourcing can be risky when the software under testing handles confidential data. The ultimate responsibility of the quality always lies with the business owner. Hence, the business owners must be proactive to understand the work, limitations they face and evaluate the project regularly.

If the aforementioned challenges go unaddressed, it may lead to failure.

Here are various aspects of QA project management that, if followed properly, would help the company to partner with a service provider effectively and successfully achieve the business goal.

Internal Readiness

Before initiation of the project, the organization should define clear objectives for the program like stakeholders and internal team, applications under testing, manual or automated testing, types of testing to be undertaken, number of rounds of testing expected etc. These objectives should also include the budget, expected timelines and infrastructure readiness.

Selection of Service Provider

In recent times, business owners have many options of testing service providers in the local as well as the global marketplace. Hence, it is imperative to conduct in-depth research on companies that meet your requirement, are affordable and compatible. Vendor credibility can be assessed through formal and informal channels. While RFIs/ RFPs are usually the starting point for the selection process, it may also be useful to reach out to industry contacts for references. It is also important to assess the vendor’s industry experience and domain expertise. While researching the potential vendors, one must be mindful of the engagement model (onsite/ offshore/ hybrid). This is especially critical since onsite models during pandemic times can cause excessive delays. A hybrid model (minimal onsite presence, majority offshore) is more successful in recent times.

Communicate the objective

The business objective should be clearly defined and communicated to the service provider as well as other stakeholders. This would ensure that all parties are on the same page. Further, deliverables and plans to achieve them can be mutually discussed and finalised.

Defining the expectations

The business owner must set the expectations with the service provider. This includes budgets, timelines, resources, and manpower required.

Enabling the outsourced team to understand the business

The testing partner must understand the business. Hence, while selecting a testing partner, one should give more weightage to domain credentials. There is a lot of information about the industry they ought to know to deliver their services efficiently. The business owner must provide them with the necessary resources and knowledge transfer.

Define a communication strategy

Define a communication strategy to ensure a smooth flow of information. The business owner must set up meetings and calls with the service provider to get regular updates on the testing.

Conduct regular meetings

It is difficult to have a human-level interaction when the teams are working remotely. Both the parties must arrange to meet occasionally to keep in touch. They should teleconference if meeting physically is not possible.

Acknowledge the cultural differences

When working with other companies, especially offshore companies, the business owner must be empathetic towards the outsourced team. Their time zone, holidays & festivals, cultural differences should be considered while setting any deadlines.

Give regular feedback and appreciations

The project manager must regularly evaluate their work and give feedback if any. It will eliminate any ambiguities at the time of delivery. The manager must also appreciate the work if done well. It boosts the service provider’s confidence which will further lead to an effective partnership.

Use Project management software

Various collaborative platforms help team members follow workflow and get timely updates from others. These platforms help to track the progress, pending tasks, and time management

Privacy and confidentiality

Issues of breach of confidentiality can be easily fixed by providing watertight contracts with the QA partner. This agreement between a service provider and a client will make it clear which testing scenarios and functionalities should be covered and what environment is made accessible for the service provider.

Price to Quality

Outsourcing in QA is a great opportunity to add a new perspective to your project. It is not only about niche-specific skills. When outsourcing in QA, the business owner spends on the actual work instead of the tools required for testing. Thus, working with a professional QA outsourcing provider that supplies a pool of talents who are already experienced in what they are doing will always be a pro. Despite the overwhelming challenges of QA outsourcing, it is still more beneficial since it is all about saving time, improving quality and cost-efficiency. Software testing outsourcing allows organizations to optimize testing costs, release internal resources, gain access to world-class QA methodologies and tools, and improve the general QA maturity level.

Test Management Tools for Beginners

Digitization of consumer markets has led to an enormous change across all the industries. With more people conforming to the internet for their day-to-day tasks, there is an increasing responsibility to make privacy and security the topmost priority. To achieve high standards of expertise, organizations must develop software that keeps up with global standards as well as focus on consumer feedback and continuous prototyping rather than tedious planning.

And this is where Test Management Tools can save the day! Test Management tools assist you by reviewing the minute details in your software projects, ensuring that no stone is left unturned in your pursuit of a perfect result.

What are test management tools?

Test management tools are applications that store information on how testing should be carried out. They plan customized test scenarios and update the authorities with quality assurance activities. Generally, they are used to plan manual testing, run multiple environments, and notify the user of the defects.

How can test management tools help me?

Test management tools allow teams to collaborate and systematically plan the test process using a single test management tool. Consequently, saving one’s time and energy that would otherwise be wasted in installing multiple applications to manage a particular step of the process. The test management tools available on the internet are highly flexible and convenient to use. You can create your test cases and scenarios, accordingly, collecting the data for future reference. A good tool will help you detect crucial bugs, which otherwise would take you a long while to identify. Even then, you might not find all the bugs in the system, and the mistake could have serious consequences. A test management tool saves precious time by providing features that make error tracing and bug identification easier.

The increasing digitization trend has led all industries to create flawlessly working software; the scenarios need to comply with the regulations set by the authorities. Moreover, since the policies keep changing with time, the testers need to design cases according to such updates. A tester requires a tool that enables centralized access with software solutions that operate every single task accurately. The different steps in test management, like downloading and tracking test cases, should be executed efficiently by a tester with the help of a management tool.

Best management Tools for you!

Since a good test management tool should do multiple things efficiently, you must pick the best management tool that suits your body of work. Here are some of the most convenient tools you can use as a beginner.

TestLink: As a beginner, it is advisable to opt for an Open Source test-based management system that enables quality assurance of software. It can organize both requirement specifications and test specifications while supporting multiple users at once. The platform furnishes its users with reports, statistics, test plans, and cases. However, since it is open-source, it has a limited set of features and is not available as a mobile application.

Tenjin: Tenjin is a codeless, auto adaptive, and agile test automation solution popular across the BFSI industry. It is a simple plug-in platform test automation platform with robotic UI discovery engine powered by new algorithm that can automatically learn and relearn any changes without human interference.

It is designed exclusively for the banking and financial sector; brings in an innovative approach to cover the functional and non-functional testing aspects of the bank’s core software system. It works across diverse application types ranging from workflow, transaction, analytics, and digital, to offer a seamless customer experience.

Testpad: This online test management tool can be used for a wide variety of projects. Since it uses an easy-to-learn checklist-style approach, there is an immense possibility for the user to explore the range of testing styles. The platform users can get a methodical screening of the plan and progress. This tool also provides features like importing from other applications and bug detection. The software is recommended especially for beginners looking for a better alternative to spreadsheets.

Zephyr: Zephyr is known to exhibit a close collaboration with Jira to provide one of the best and most efficient test management systems in the market. It is unanimously appreciated by a large audience for its convenient and flexible features that provide superior quality customization. The users are also furnished with many alternatives to rate and improve their testing with advanced features. However, it is known to be one of the costlier tools in the market.

Practitest: This cloud-based tool provides an end-to-end system to accommodate its testing requirements. It is one of the most dynamic tools that has seen a meteoric rise in its customer base recently. The tool supports both manual and automated testing and is extremely easy to use. By targeting visibility, the tool has designed bespoke filters to organize requirements, execute tests and generate reports.

Kualitee: This immaculate test management tool provides an interface that tracks and visualizes all the tests in a single place. Its well-designed dashboard with convenient testing KPIs and metrics allows users to work in an organized manner. It also allows suitable functionality when used across multiple projects due to its ability to reproduce test cycles.

Whether it is rapid software delivery and system update, or the creation of traceability metrics, all the industries are coming up with Agile and DevOps approaches to fast-track their adoption of the digital arena.

While choosing a Test Management tool, one should always keep track of the following categories – budget, mobile support, external integration, efficiency, and ability to back Agile or DevOps approaches. Since many Test Management tools are not free of cost, you must spend your money on something worthwhile. Despite hundreds of features on such tools, one needs to evaluate their niche as a user and choose the most appropriate tool that suits their demands.

Testing Centre of Excellence: Reasons You Need It

Dynamic technological trends and revolutionary innovations have redefined the way businesses operate.  The changing trends have transformed organization preference to a continuous management model. Speed, agility, and relevance are pivotal for organizations to keep pace with the evolving customer preferences. An efficient QA strategy in alignment with the organization’s goals and customer behavior will help deliver the expected results.

To support the testing of such complex and dynamic business processes, the framework of the Testing Centre of Excellence (TCoE) came into existence.

TCoE is a centralized model that combines the testing process, people, and the tools involved in performing the testing. A well-established TCoE framework eliminates redundancies, helps in risk mitigation, improves application quality, reduces cost, and decreases time-to-market.

Here are some of the key benefits of TCoE which will help organizations to achieve immense success.

Efficient testing: TCoE utilizes test automation and data metrics to offer unmatched test coverage within the given budget.

Streamlined process: Since TCoE is a centralized model, it allows an effortless establishment and utilization of multiple resources, tools, and workflows. It sets up a standardized quality etiquette and allows the organization to improve the testing process.

Reliability: TCoE ensures thorough testing of software development lifecycle management; this increases the reliability of the applications. Reliable products/services help organizations gain more customers and eventually grow business revenue.

Defined goal: The centralized test automation framework ensures to work towards a common business goal, thereby, achieving better business outcomes.

Increased agility: TCoE operates on the fundamentals of agile methodology, hence, it responds to new business challenges better and allocates your quality team’s time by priority.

Maximum utilization of existing resources: TCoE brings in the existing resources to make the best use of them without having to reduce/rearrange the workforce, budget, tools, or environment.

Faster time-to-market: TCoE improves operational efficiencies by identifying the errors, missed deliveries, and analyze the turn-around time for further process improvement. Test times are mostly reduced by 30% and test automation increases to about 50-70%. It also helps in improving the agility of the process and allows the organization to handle the challenges better.

Risk mitigation: TCoE optimizes application quality and performance to reduce risks arising from system failures, security breaches, and high-severity defects leakage. This involves the testing of all the functional and non-functional aspects, thereby helping in reducing the overall associated risks and offer a seamless customer experience.

Metrics: TCoE approach helps in the effortless and efficient management of the application lifecycle which defines and measures the key performance indicators of the process. A 2% reduction in the rate of missed bugs has been reported with the use of TCoE, which makes it one of the most reliable testing go-to.

Cost efficiency: TCoE is a highly efficient model to cover all aspects of your testing requirement. In addition, it is to be noted that it is one of the cost-efficient models too. It has been reported that up to 35% cost reduction has been witnessed over a time duration of three years.

Test management: The complete testing covers all areas of testing, planning, analysis, engineering/re-engineering, and execution, thereby, ensuring a high-test coverage across all phases of the software development lifecycle.

Implementing a TCoE to your existing work process can help you achieve better results by streamlining the existing process and benefiting greater agility, stability, and consistency.

How does TCoE operate?

TCoE is established and operated in a few simple steps; they include:

Consolidating the best methods and practices: Creating the most suitable methods for planning, execution, and understanding the policies is an essential step to establish TCoE. Consolidating the ground-level data will help you set the process.

Brainstorming: This step involves training the new and existing testing professionals. Since TCoE is a centralized model, it becomes important to define the role of each individual across all the project verticals.

Standardization: Once the initial setup is completed, the process should be standardized by the utilization of the QA methods, tools, and resources. This can be done by carrying out an initial project on a small-scale, and later moving to the bigger picture.

Continuous testing: TCoE, with its standardized process and resources supports the continuous integration and continuous delivery (CI/CD) process. It complements the CI/CD perfectly by conducting continuous testing, to ensure that the errors or bugs are detected earlier in the software development lifecycle.

Encourages innovation: TCoE emphasizes constantly measuring the test results, allowing to compare and analyze them to understand which tools and methodologies will best work for each test case scenario. New processes or tools can also be tried to check their feasibility, thus, making way for new innovative methods and processes.

Setting up and utilizing TCoE will scale up your business like never before. It offers greater opportunities for organizations to improve their product quality and succeed in the market. Establishing centralized testing for an organization may be a daunting experience. However, like all worthwhile endeavors, a TCoE takes the commitment of time, money, and effort. Its benefits significantly surpass the costs, providing companies with the required return on investment.