Testing & Quality in Continuous Delivery, DevOps, and Observability

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

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

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

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

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

How implementing continuous testing helps in the continuous delivery pipeline

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

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

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

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

The need for observability in the CI/CD pipelines

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

Advantages of continuous monitoring and observability

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

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

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

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

Ways to implement monitoring and observability

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

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

Why is Yethi your perfect QA partner?

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

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

Emerging Trends in Performance Testing

Creating a visually appealing website with seamless functionality is great, but if it crashes easily or fails to work under higher traffic, it can never be a successful one. Hence, performance testing is a crucial parameter when it comes to software testing. It gives a clear picture of how the website/ application is performing in terms of speed, thereby, offering scope to increase its robustness and reliability.

Performance testing is a rapidly developing field and has witnessed enormous advancements, especially in the recent years. Teams are trying to move to quicker, cheaper, agile, and more accessible methods to improve the performance testing process.

Like the previous years, this year too will witness new trends in performance testing that will enable more responsive development in shorter spans with fewer risks factors. The emerging trends in performance testing are discussed here in detail.

Latest trends in performance testing

The new trends in performance testing are still at a nascent phase and will make their presence in the market much sooner than we anticipate. Here are some of the popular testing trends that will transform software QA in the near future.

Artificial Intelligence

The use of Artificial Intelligence (AI) in performance testing for websites and apps is not new. AI automation is slowly making its presence as a go-to option for testing and QA teams at every stage of performance testing.

The use of artificial intelligence in performance testing for websites and applications is expected to grow further in the upcoming years and become a significant trend of all time.

Internet Of Things Testing Market

The Internet of Things (IoT) has seen rapid growth in the last few years, and this growth is expected to continue in the future too at a larger scale. This means that there will be millions of devices operating in various unique environments. Testers will face new challenges to ensure that the testing cycle, performance, and security aren’t compromised. To mitigate these risks, testers will have to adopt an IoT-focused approach, leading to the rise of Cloud-based and IoT testing environments.

Cloud-based Testing

Cloud computing services are becoming popular for functional and non-functional software testing. There are a plethora of benefits of using Cloud-based tools for performance testing. Some of them are:

  • High Scalability: With a Cloud-based platform, unlimited users can carry out performance testing simultaneously.
  • Low Cost: It allows on-demand resource provisioning for performance testing for websites and software without the need of building infrastructure, thereby, helping reduce performance testing costs.
  • Supports Production Environment Testing: Generally, traditional, older tools allow performance testing only in the test environment. However, with Cloud-based tools for performance testing, the testing can be carried out in the production environment as well.

Open-source Tools for Performance Testing

Open-source tools promote collaboration by giving testers the ability to view and edit the source code. This leads to the team working efficiently and helps create a better product while reducing the production cycle time. Additionally, they also provide an easy learning platform for new testers. No doubt that open-source performance testing tools have become quite popular in the testing community and will remain an integral part of it.

DevOps

DevOps is a collaborative approach combining Development (Dev) and IT Operations (Ops). It involves all the stakeholders in the software development process until the product is delivered to the client. DevOps aims to reduce the software development life cycle while delivering high-quality end-products to the client. To accomplish this, DevOps involves a highly interconnected, collaborative, and agile approach. Looking forward, DevOps seems to be the go-to approach for many organizations due to the various benefits it delivers.

Production Testing

Another emerging trend in performance testing is testing the software or website in the production environment. Generally, performance testing is done in the development, staging, and pre-production environments. However, in production testing, the new code changes are tested on live user traffic on the production software itself.

Production testing allows only a small set of users to be exposed to the software. The testing team then carries out performance testing for websites or applications and rolls out new features to check user responses. They can verify whether the software or website works as intended or not. Some of the techniques used for production testing include:

  • A/B testing: Testers can compare two versions/features at the same time to see which one provides a better user experience.
  • Blue-Green deployment: It involves running two production environments that are as identical as possible. It helps reduce downtime and risks as it enables gradual and safe transfer of user traffic from a previous version of the app or software to the new one.
  • Security Testing: Data threats and attacks have increased in the last few years, resulting in tangible and intangible losses for every party involved. Thus, every stakeholder, including businesses, has realized the importance of data safety. Testing teams, too, have prioritized security testing in performance testing to avoid any undesired instances. The threats are expected to only increase as we steadily move to a more interconnected world. That is why software testing teams must become competent to detect and neutralize threats at the earliest.

Behavior-driven development

Behavior-driven development (BDD) is an agile approach that encourages collaboration with shared tools and processes to create a mutual understanding between testers on how the end-product will behave. In BDD, the testing team needs to build test cases based on user behavior and interactions to create a high-quality end-product. BDD is expected to gain further prominence as AI goes mainstream in performance testing.

These are the top emerging trends in performance testing that one should watch out for in the next few years. However, given the unprecedented changes, we might see the addition of these new trends much sooner in the future. Similarly, some of the emerging trends may vanish before they become mainstream due to various challenges in implementing them on a larger scale. Businesses, testers, and individuals will need to keep themselves updated about new developments in the industry to stay ahead of the curve.

Why choose Yethi for performance testing?

Yethi is a niche QA service provider for global banks and financial institutions that offers efficient end-to-end testing. Our flagship, Tenjin, is a codeless test automation platform that can carry out all aspects of functional and non-function testing with nearly 100% accuracy. Tenjin executes high-level performance testing to identify the responsiveness, availability, and scalability of the system. It performs multiple rounds of tests to check the consistency of the system. Our aim is to ensure that your application performs at its best even during increased, load, stress, and volume.

Code Coverage Vs. Test Coverage

Improving the ‘quality’ of software is the key to creating a loyal customer base and increasing the ROI. There are different metrics to assess the software quality, the most important ones are code coverage and test coverage. Sometimes both are used interchangeably, however, they are not the same. Both are used to measure the effectiveness of the code, hence, giving a clear picture of the quality of the software and deciding if the product is ready for deployment.

As code and test coverage are necessary to evaluate the efficiency of the code used in developing the software; let’s shed light on how code coverage and test coverage differ from each other and help in providing an insight to the software quality.

What is Code Coverage?

Code coverage is performed to analyse the code execution length. It is a software testing practice that determines the extend to which the code has been executed by observing the critical lines in the code across the length. Further, it helps in validating the code for understanding the robustness of the final outcome.

Code coverage is a white-box testing technique that generates a report that details how much of the application code has been executed, making it easy to develop enterprise-grade software products for any software company.

How is Code Coverage Performed?

Code coverage is fundamentally performed at the unit testing level by considering various criteria. Here are a few critical coverage criteria that most companies practice:

Function Coverage: covers the functions in the source code that are called and executed at least once.

Statement Coverage: covers the number of statements that have been successfully implemented in the source code.

Path Coverage: covers the flows containing a series of controls and conditions that have operated well at least once.

Branch Coverage: covers the decision control structures like loops that have been executed without errors.

Condition Coverage: covers the Boolean expressions validated and performs both TRUE and FALSE as per the test runs.

Loop Coverage: covers the completed loop body zero times, exactly once or more than once.

What is Test Coverage?

Unlike code coverage, test coverage is a black-box testing procedure that provides data about the tests performed on an application or website. It controls the number of tests that have been completed by deciding the area of a requirement not executed by a set of test cases.

Test coverage helps to create additional test cases to ensure the maximum range of requirements is outlined in multiple documents like:

  • FRS (Functional Requirements Specification)
  • SRS (Software Requirements Specification)
  • URS (User Requirement Specification)

Additionally, it helps identify a quantitative measure of test coverage, which is an indirect method for quality checks.

How is Test Coverage Performed?

Test coverage can be accomplished by practicing static review procedures like peer reviews, inspections, and walkthroughs by transforming the ad-hoc defects into executable test cases.

It is performed at the code level or unit test level using automated code coverage or unit test coverage tools. In contrast, functional test coverage can be done with the help of proper test management tools.

Here are a few critical coverage criteria that most companies practice:

  • Functional testing: Functional testing evaluates the features against requirements specified in the Functional Requirement Specification (FRS) documents.
  • Acceptance testing: Acceptance testing verifies whether a product is suitable to be delivered for customer use.
  • Unit testing: Unit testing is performed at the unit level, where the bugs are extensively different from problems found at the integration stage.

Significant Differences Between Code Coverage and Test Coverage

Here are some of the prime differences between code and test coverage:

Code Coverage Test Coverage
Refers to which application code is exercised when the application is running Refers to how well the Number of tests
executed covers the functionality of an application
Helps in measuring how efficiently the test execution can be achieved Provides new test cases, which helps to improve the test coverage and, in return, increases the defects
Checks the quantitative measurement Helps identify the measure of test cases, which enhances the quality of the software
Helps in testing the source code Eliminates test cases that are not useful and do not increase the test coverage of the software
Defines the degree of testing Helps find the areas that are not implemented by any test cases
Performed by developers Performed by the QA Team

Method to Calculate Code and Test Coverage

The formulas for calculating various coverages of code are:

Code Coverage

Statement Coverage can be calculated as the number of executed statements/Total number of statements X 100

Function Coverage can be calculated as the number of functions called/Total number of functions X 100

Branch Coverage can be calculated as the number of executed branches/Total number of branches X 100

Example: If the total number of executed branches are 6 and the total number of branches is 7, then the branch coverage will be 6/7*100 = .85

Test Coverage

In the first step, calculate the total number of lines in the software under test.

Then in the second step, calculate the number of lines of all the codes of all the test cases currently under execution.

Then divide the count in step one by count in step two.

The result is then multiplied by 100 to get the percentage of test coverage that is covered. 

Example: If the total number of lines in a code is 500 and the number of lines executed in all is 50, the test coverage is 500/50 * 100 = 10%.

Conclusion

In this fast-paced, technology-driven world, understanding code coverage and test coverage are necessary for developers and testers. These coverages help strengthen and simplify the code so that the resulting application is the highest possible quality. However, developers and QAs can build result-driven, modern code that sets the foundation of genuinely great software by executing these concepts.

Importance of UI and UX Testing and Yethi’s Role

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

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

What is UI testing?

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

What is UX testing?

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

Importance of UI and UX testing

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

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

UI of tested products are:

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

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

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

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

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

Benefits of UI and UX tests

Cost-efficient

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

High Conversion Rate

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

Brand awareness and loyalty

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

Yethi’s Role as UI / UX Testing Partner

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

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

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

Conclusion

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

[INFOGRAPHIC] Manual Vs Automated Testing

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

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

 

Manual Vs Automated Testing

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

Risks Associated with Data Migration and How to Mitigate Them

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

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

Let’s understand data migration first

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

Concerns with legacy systems

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

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

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

Potential risks of data migration

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

Why is data migration more about risk mitigation?

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

The importance of conducting data migration testing

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

Data-level validation testing

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

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

Application-level validation testing

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

Conclusion

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

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.

Conclusion

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.

Conclusion

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.

Conclusion

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.

Conclusion

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

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

Software Testing Efforts – Both Manual and Automated

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

The standard component of software service includes:

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

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

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

Manual Testing

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

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

Steps in Manual testing cycle:

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

Key aspects of manual testing

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

Automated Testing

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

Steps in Automated testing cycle:

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

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

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

Key aspects of automated testing

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

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

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

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

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.

Conclusion

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.

Organization

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

Review

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

Execution

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

Maintenance

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

Defect Management

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

Quality Testing Dashboard

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

Test Case Cumulative Report Table

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

Steps Involved in Business Process Reengineering testing

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

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

Need for Reengineered Test Management

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

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

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

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

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

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

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

Why Yethi for reengineering test management?

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

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

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

Conclusion

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

Why choose Yethi?

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

Performance Testing: How this helps the BFSI industry?

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

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

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

What is performance testing?

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

Challenges associated with performance testing:

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

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

How to overcome the performance testing challenges

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

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

Significance of performance testing in the BFSI industry

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

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

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

How performance testing helps the banking/ financial sector:

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

Types of performance testing

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

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

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

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

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

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

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

Yethi’s uninterrupted performance testing

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

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

How to reduce flakiness of your automated tests?

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

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

Reasons for flakiness in test automation

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

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

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

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

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

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

How to identify, fix, and manage flakiness?

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

Align the processes

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

Define the objectives

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

Streamline the development process

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

Allocate resources efficiently

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

Test the quality of the software

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

Abide to the protocols

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

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

Maintain the scripting standards

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

Ensure the elimination of errors

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

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

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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.

Conclusions

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.