Exploratory Testing: The Most Valuable Viewpoint for Testers
Software testing is a practice that helps to assure the quality of software products and is a decisive component of software development. The extensive topic of testing covers a broad range of techniques, strategies, and tactics. The most crucial testing technique is exploratory testing. Exploratory testing: what is it? Exploratory testing is a strategy that strongly emphasizes the tester’s abilities, expertise, and experience. The tester uses this methodology to go deeper into the software product to find flaws and problems that may have escaped notice during previous testing procedures. In exploratory testing, test cases are developed as they go. Identifying potential problems depends heavily on the tester’s experience and understanding of the product and its users. Compared to other testing methods, this one is more adaptable and enables testers to modify their testing to the current state of the product and testing environment. In this article, we will go through what exploratory testing is and why it is the ideal viewpoint a tester needs. As a result of the many advantages it offers, exploratory testing is frequently referred to as a tester’s best friend. Exploratory testing is a tester’s best friend for the following reasons: Creativity and Innovation: It enables testers to apply their creativity and inventiveness to find problems that might not be readily apparent using a conventional testing approach. The tester can utilize their intuition to spot problems other methods might overlook because they are free to explore the software product without being constrained by preset test cases. Provides Rapid Feedback: It offers quick feedback because the tester can spot and report problems immediately. This enables developers to correct problems rapidly and raise the caliber of the software before it is made available to users. Helps Align Testing with User Needs: It can help align testing with user needs since it allows the tester to explore the software product from the user’s point of view. This can help guarantee that the software product satisfies the requirements of its target audience and offers a satisfying user experience. Increases Efficiency: It can be more effective than other testing methods because it does not need the construction of detailed test plans, which reduces costs. Instead, the tester can quickly locate and carry out tests pertinent to the software product’s current state using their knowledge and experience. While still maintaining the quality of the software product, this can help testers save time and resources. Improves Test Coverage: It can increase test coverage since the tester has the freedom to investigate the software product in several ways. This can assist in finding problems that other testing methods might have overlooked, enhancing the software’s overall quality. Not at Random: It is crucial to remember that exploratory testing is not a random or ad hoc technique, even though it is sometimes linked with a lack of organization or strategy. The main distinction between exploratory testing and traditional testing is that in exploratory testing, test designs and execution are made as they go along, depending on the tester’s insights and intuition. Not Exclusive to Agile: Due to its compatibility with agile development’s iterative and flexible character, exploratory testing is frequently linked to agile approaches. Exploratory testing can, however, be applied to any approach to software development, including waterfall, hybrid, and DevOps. Complemented with Automation: Although exploratory testing is a manual testing method, it can be supplemented by automated testing software and scripts to increase effectiveness and coverage. Regression testing is a repetitive or time-consuming process that automated tools can assist with, whereas exploratory testing can concentrate on areas that call for human insight and creativity. Conclusion: Exploratory testing is a tester’s best friend since it fosters innovation and creativity, boosts productivity, enhances test coverage, offers quick feedback, and assists in coordinating testing with user demands. These advantages can assist testers in ensuring the software product’s quality and adding value to their team and organization.
Top Five Trends in Software Testing
The rapid changes and multiple ups and downs in software application development necessitate that development teams and quality engineers aim to improve their skills continuously. Every organization today strives to get its apps to market as soon as feasible. Organizations are embracing best practices such as Agile + DevOps + QAOps to minimize time to market and are also investing in technologies such as Machine Learning (ML) and Artificial Intelligence (AI). Software testing is an essential component of the SDLC and is critical to delivering high-quality products. Furthermore, the Internet of Things (IoT) is becoming increasingly popular in various industries, resulting in high demand for testing solutions and automation. Let us look at the top five software testing trends that we believe will dominate in the future: 1. Continuous testing with test automation Every software development company aims to offer the finest quality software in a fast-paced Agile development environment. To do so, they must ensure their product is bug-free. There is no denying that problems can arise at any step of the software development life cycle (SDLC). As a result, test automation is essential for releasing products faster by shortening the test execution cycle, increasing efficiency, and finding regression errors early. Consequently, every firm recognizes test automation as a critical software testing life cycle component. Although the trend of DevOps with CI/CD began long ago, it was undoubtedly accelerated by the COVID-19 pandemic, which forced everyone to work from home. Continuous testing, which means testing at every stage of the SDLC with test automation, is an essential component of CI/CD pipelines that deliver high-quality software quickly to market. As a result, adopting this practice can assist organizations in providing their highest quality product well ahead of schedule. 2. IoT Testing and Automation Due to the confluence of digital and physical worlds, IoT is growing more intelligent by the day, and it is increasingly being employed in industries such as automotive, healthcare, energy, and utilities, etc. As the number of IoT-enabled devices grows, an effective testing strategy and test automation are required. When you focus on automating their microservices, the complexity of testing a massive IoT architecture decreases dramatically. It enables test automation to be completed quickly and with less risk. We should learn about these advanced technologies and improve our abilities to test their functionality, performance, and security. The Internet of Things testing market was valued at approximately US$ 1.56 billion in 2021, with total revenue expected to grow at around 29.6% from 2022 to 2029, reaching nearly US$ 12.48 billion. 3. LC/NC Test Automation Low-code/No-code test automation solutions combine Machine Learning, visual modeling, and Artificial Intelligence processes to produce stable results, allowing users to automate tests with little or no coding skill set/experience. Typically, the most used features/utilities are already built-in via GUI, allowing users to select and sequence the required actions. This eliminates the complexity of manually performing the test cases while also speeding up the whole process by shortening the time spent conducting the regression test suite. Here are some of the benefits of low-code/no-code automated testing: Low learning curve – While technical experience is advantageous, it is not required. Most capabilities, such as remotely executing test cases, integration with test management tools, CI/CD are available as ready-made solutions. Since the test scripts are created without any code or low code, they benefit non-programmers such as product owners, business analysts, etc. 4. Using QAOps to Shorten Delivery Cycles To create a highly effective and cohesive process, the QA team, development, and IT operations teams must work together closely. In contrast to DevOps, QAOps focuses on the problems of QA engineers and the importance of integrating software testing into the DevOps workflow. QAOps is essential for groups that automate their CI/CD pipelines as it enables them to obtain quick results without compromising quality. After its integration into the CI/CD pipeline, this process helps teams save both time and money on product evaluation. The increasing popularity of QAOps illustrates that quality is often overlooked during software creation. Most businesses are embracing it to reap the following benefits: Because the QAOps process adheres to the shift-left testing approach, it accelerates issue fixes early without sacrificing time and allows the application to be deployed sooner. CI/CD testing identifies issues at an earlier stage, providing a reliable application with the highest quality. Because testing is ongoing, the chances of an improved customer experience increase as application quality and delivery improve. By running QAOps operations continuously, the IT operation team avoids any delays. The QA team can now test new apps/features without slowing down. This adoption has gathered a great deal of attention in recent years, and this interest will only increase in the coming years. 5. Accessibility Testing According to WHO, nearly three-quarters of the world’s population will access the internet solely through smartphones by 2025, and over 1 billion people, or 20% of the population, are likely to have some form of disability. In this age of digital transformation, mobile and web applications must be easily accessible to differently-abled people. As a result, accessibility is no longer an afterthought but a requirement that every software development company employs accessibility testing. This type of testing validates application usability experiences. It ensures that the application is usable by children, the elderly, left-handed users, and people with various disabilities. Final Thoughts Exciting times are ahead for the testing industry as we discover new ways to optimize software testing using augmented intelligence. Based on the above software testing trends, we can foresee a positive future for quality engineering. What’s Next Tavant Continuous Quality Engineering Services help organizations engineer quality into their process by incorporating a whole gamut of services, tools, and techniques to elevate the end-user experience. To learn more, visit here or reach out to us at [email protected].
Top Metrics & Measures to Determine Test Automation’s True ROI
Test automation is critical in a fast-paced agile development environment for releasing products faster by speeding up the test execution cycle, improving efficiency, and finding regression errors early. However, if we cannot assure the effectiveness of this process, test automation investments may be wasted. Test automation metrics reveal whether your approach is effective. Before diving deep into test automation metrics, let us understand what test coverage and automation coverage are. What is test coverage? Test coverage is defined as “What are we validating and how much are we validating?” It addresses both business and testing requirements. It is frequently confused with Code Coverage. Even though the fundamentals are the same, the points are distinct. Test coverage ensures that all requirements are confirmed and is a QE team pursuit. On the other hand, Code Coverage refers to unit testing procedures that must be directed at all portions of the code at least once and are carried out by developers. What is test automation coverage? In simple words, it shows how much coverage your automation suite is offering vs. how much testing is being done manually. It provides an impartial sense of your QE process that can help you identify and resolve pain points while improving your test automation performance: Test Automation Coverage = Number of tests automated/Number of total tests written Quality Metrics for Test Automation: It is critical to measure what we do and what we measure too. Though there are many metrics that we can collect for measuring how we are doing in terms of test automation, we think the following metrics are worth considering starting, and later you can add more as we make some progress on these ones: Automation Progress This metric refers to the number of automated test cases at any given time. This shows how you’re progressing toward your goal over time and whether there are any significant deviations during the automation testing process. This tells you nothing about the quality of the tests written; therefore, it is essential to ensure that automated tests are as effective as manual tests in catching defects. Automation Progress % = (Number of automated tests / automatable tests) * 100 Automation Stability This indicates how well your test automation suite runs over time. If your tests are failing (flaky failures over time), that is a decent statistic to tell if your tests are not stable. Also, in case there are false failures (false positives and false negatives), it becomes an early warning sign that your test automation suite is not dependable. Automation Stability % = (Number of failed cycles due to flakiness or false failures / Total Number of execution cycles) * 100 Automation Execution Time This indicates how long does the entire automation suite test execution take? Agile software development is all about speed, and the test automation suite should run quickly and not cause any unnecessary delays. This does not tell you anything about the quality of the tests performed. It just has to do with time. Execution Time = End Time of automation run – Start Time of automation run Automatable Test Cases This can assist you in identifying where you are prioritizing automation and what components/features might still necessitate manual validations. It is helpful in preparing the appropriate testing strategy and creating a balance between automated and manual testing. % Automatable = (Number of automatable tests / Number of total tests Written) * 100 Bottom line: Metrics are an important indicator of the health and success of an automated testing effort, but they should not be used as team performance goals. It is used to assess the tests, not the team. Since many companies have set up automation test suites to expedite their test execution cycle, selecting the right tools and contemplating useful test automation metrics are worth considering.
Code-based versus Low-Code/No-Code test automation solutions: Which one to Choose?
Concerns about the quality of software test automation solutions are growing every day, and we face an array of challenges in addressing them. One of the challenges is that we have several test automation solutions to automate our test cases (Web, API, Mobile, etc.). Some test automation solutions in the market require exceptionally good programming knowledge, whereas for a few, intermediate programming knowledge is enough, and we have a few where we can automate things with almost no coding experience. To top it all, there is pressure to deliver faster to the market What is a Code-based Test Automation Solution? Coded solutions, like traditional automation systems, necessitate a very trained workforce with an in-depth understanding of certain tech stacks. A team capable of writing custom code from scratch is required in this case. These solutions are intended to be developed and used by technical users such as SDET, developers, etc. What are Low-Code/No-Code test automation solutions? Low-code test automation solutions allow users to automate tests with some or little coding skill set/experience. Most of the automation testing happens without actual programming. Typically, the most used features/utilities are already built-in through GUI so that users can select the required actions and combine them into a sequence. However, coding expertise is necessary when achieving anything complex to interact. No-code test automation solutions allow users to automate tests in the application with almost no coding knowledge and experience. These solutions are intended to be used by non-technical users such as product owners, business analysts, etc., where we would mostly need to select, click, enter text, scroll, or drag and drop. Difference Between Code-based Vs. Low-Code/No-Code Test Automation solution Category Code-based Solutions Low-Code/No-Code Solutions Coding Need High Low or None Complexity Overly complex Less complex Flexibility Extremely flexible Less flexible Primarily Servers Technical users (Developers and SDET) Anyone who is a part of the project can contribute. Security Concerns Quite Low High Execution Speed Low to Medium (depending on the test case count and test steps). High Automation Design Robust Tightly coupled In today’s world, where new test automation solutions are frequently released, enterprises are looking for ways to expand and accelerate their software delivery processes. Even low-code/no-code solutions now have all the necessary built-in qualities that make them simple to implement with little to no coding knowledge/expertise. The question is if it is winning hearts! Code based Solutions Pros Cons Design and workflow flexibility – Design in accordance with your company’s existing workflows, expertise, and skillset. Ease of Use – Understand your intended users and their skill sets. Create the framework to match up. Need a new feature? – Decide the priority of that feature and implement it, what features your framework should have, and to what extent each feature should go. Something not working? – Find the root cause and go ahead and fix it. Reporting or Dashboard requirement – You have complete access to your execution results and can create whatever report/ dashboard format you want. Pricing – The long-term cost-per-run is much lower than any low-code/no-code test automation solution. Time to build – Creating a stable solution takes time. Depending on the AUT, it could take a lot of time. Need to provide your own DevOps/SecOps ecosystem No Outside assistance – When you develop your own solution, you have only yourself to hold accountable when things go south. Low-Code/No-Code based Solutions Pros Cons Almost no ramp-up time, it is a ready-made solution – no need to build your own. No maintenance for hardware and no need to involve DevOps/SecOps. Outside assistance – You have someone to assist you (based on your support contract) in case you have any queries or need help. Limited scalability- Need a new feature or integration with another tool? – the solution does not yet support a feature. You must wait for a feature and support ticket (you do not have any control over deciding priority) Support wait time – Response time depends on your subscription. It can be anywhere between minutes or hours to days at times. Pricing – it varies, but in the long-term, cost-per-run is significantly higher than using any traditionally built code-based test automation solution. Limited customization- Inflexible reporting/dashboard – Most of these solutions will not give you a choice to have “out-of-the-box” customization. Have any queries? – You are dependent on the solution maker to help you out. Helpless- Waking up after a few months of solution implementation to realize that you cannot increase automation coverage due to the solution’s lack of support. The automation solution company is sunsetting the tool due to any reason.” Since each organization works on different objectives, to deal with the question of which approach to use, here are the top few items to mull over: Who (Tech/Non-Tech/SDET, etc.) will create and maintain these automation test suites? What is getting automated – APIs/Web/Responsive/Desktop/Mobile apps? How complex are the test cases and business situations to be automated? What is the skill set/expertise within the team for creating and maintaining this test automation suite? Is this a new or an existing project where we have already done some automation? Is the test automation suite meant to be integrated with other tools like Test Management, bug tracking, CI/CD, etc.? The test automation suite is meant to be executed at what size? What is the budget and time duration required to complete this project? Final Thoughts It is imperative to realize that there is no silver bullet. As shown above, each choice has its own pros and cons. The key to success is choosing the right solution that balances your team’s skill sets and expertise and simultaneously meets your organization’s objectives. Until then, happy test automation!
QAOps – Shift in the QA paradigm
What is it? Is it a specialization or a new team role? – The answer is No. QAOps, also known as Continuous Quality (CQ), is a process of including quality engineering (QE) in Continuous Integration and Continuous Delivery (CI/CD). So, instead of being an isolated process, software testing is integrated into the CI/CD pipeline. It requires solid collaboration between the QA team, development, and IT operational teams to build a highly effective and cohesive process. In contrast to DevOps, QAOps emphasizes QA engineers’ problems and the importance of integrating software testing into the DevOps workflow. How to Implement QAOps: We can successfully implement QAOps by implementing Automation Testing, Parallelization, Scalability Testing, and Integration of Dev and IT Ops with the QA team. Let us look at each of these briefly: Automation Testing. Automated testing forms the base for the QAOps. It involves performing tests with the help of scripts, tools, etc., to certify test cases by repeating pre-defined actions that require very minimum human-centric efforts. To make it happen, SDET engineers must work on building a solid automation framework. Once we have an automation framework in place, QA engineers select the tests that can be automated which saves time and tests functionalities well. QA engineers should focus manual effort on testing only those functionalities that cannot be automated and/or exceptional testing use cases that are not good candidates for automation. Although it is impractical to automate every test due to tool and technology stack limitations, we should strive for high automation coverage by automating as many tests as possible. The best way to approach QAOps is to integrate automation testing into the CI/CD pipeline. Parallel Testing (Parallelization) Parallel testing entails running multiple tests concurrently rather than sequentially. It allows you to run tests in various browsers and platforms at the same time, drastically reducing testing costs, effort, and time. In the QAOps framework, your tests should run quickly because if the execution happens slowly, then it will impact the entire delivery process. We should run our tests parallelly instead of sequentially to achieve speed. Additionally, it improves test coverage. Parallel testing necessitates a good infrastructure to run the tests concurrently, but the results are impressive with no impact on the delivery pipeline. Scalability Testing Test scalability comes into play once the application goes live and begins to gain popularity and gives you the desired results, which is when you must scale it judiciously. When the application scales, the testing of that application must necessarily scale as well. Scalability helps in determining the application’s performance under varying load conditions. With the result of scalability testing, we can conclude the response of the application with respect to the differential loads. As a standard QAOps practice, the QAOps team must have access to the scalable infrastructure and framework to perform testing and increase the speed of tests when needed. Integrate Dev and IT Ops in QA The final and most crucial step toward the framework’s success is incorporating all QA activities into the CI/CD pipeline. Applying a shift-left testing approach to integrate the QAOps framework can help to avoid launch delays. When the QA engineers collaborate with Developers and IT Operations teams, it helps in testing new features without any lag from the team. This collaboration between the different teams makes the development and testing process more effective. Here are a few responsibilities (not only limited to) of an engineer who performs QAOps work: Building an automation test plan Developing and maintaining the QA automation framework and scripts Configuring remote automated test execution (including parallel run) Reporting and distributing the results via communication channels such as Slack, MS Teams, email, etc. Communicating and collaborating with the Operations and Development team (from development start to deployment into live environments) Few tools/technologies stack that the QAOps team use for different streams to add value to the QAOps process: Functional Automation: Selenium, Appium, Cypress, Playwright, Protractor, WebdriverIO, and others. Performance Testing Tools: JMeter, LoadRunner, NeoLoad, and others. CI/CD Tools: Azure DevOps, AWS CodeBuild, Jenkins, Git workflow, and others. Cloud infrastructure: Azure, AWS, Docker, and others. Remote browser execution: BrowserStack, SauceLab, Pcloudy, and others. Reporting: Extent, Allure, Report Portal, and others. Benefits Of QAOps: As this process demands collaboration between the QA, Development, and IT Operations Teams, it allows them to enhance their skills in a variety of areas. As the QAOps process abides by the shift-left testing approach, this accelerates issue fixes early without sacrificing time and deploys the application sooner. CI/CD testing allows issues to be identified at an earlier stage, providing a reliable application with the utmost quality. Because testing occurs on a continual basis, the chances of an improved customer experience increase since the application quality and delivery are improved. IT operation team avoids any delays by having the QAOps operations run constantly. This permits the QA team to test new apps/features without being slowed down. In Conclusion QAOps is critical for teams that automate their CI/CD pipelines because it emphasizes speed without sacrificing quality. Once implemented, this process in the CI/CD pipeline saves time and money on testing products. The rise of QAOps highlights the problem that quality is frequently overlooked in software development.
CI/CD and Security Testing Integration
Introduction CI and CD = Continuous integration & Continuous delivery OR Continuous deployment. CI/CD is the modern-day software development process in which we can release updates at any time in a sustainable way. The code changes are made frequently and dependably based on customer requests and the sprint life cycle. A CI/CD pipeline, popularly known as the DevOps pipeline, builds up code, executes tests (CI), and wisely deploys an updated application version into the following environment. It also ensures that code changes being merged into the repository are efficient to deploy into the live environment to meet the final goal, i.e., ship software with swiftness and effectiveness. The Pros CICD is a low-risk option – as the process is completely automated. There are no manual interventions for setup or even config changes. Releases can occur in defined frequencies and with the client’s feedback. So, this ought to be a faster & optimum way. Smaller, more recurrent software releases are less disruptive and are easier to troubleshoot or roll back in case of any problem. The process with a structured manner increases productivity; a product will be released independently of other objects, and in the case of multiple series of code- we can release changes independently. This will increase development effort with productivity. A CI/CD pipeline allows teams to analyze builds and test results in detail, leaving little room for last-minute bug surprises. The Cons Team dependencies – Infrastructure, including servers, could be managed by different teams, and when the need arises to access those, it can cause unnecessary delays. Thus, all groups need to be well coordinated with each other all the time. Procedure orientation delay– If defined for any pre-approval process in a project, like no direct access to the infrastructure, it can sometimes delay troubleshooting. New skill sets must be learned – Multiple tools to be used and vendor dependency on those require people with a different skillset in your team. This demands a severe intellectual investment to learn these tools. Why do we need to infuse security validation in our CI/CD pipeline? Continuous integration and Continuous delivery are about speed, repetition, and automation. Development and QA teams are constantly under pressure to deliver releases as fast as possible – provide any new feature(s) or fix the critical bug(s) or an enhancement. But the need for speed repeatedly ignores the importance of security testing, which leaves you at risk of failing to secure your application. Vulnerabilities or flaws found in the live version of an application can cause a breach of confidentiality and expose the software to malicious activity, which costs time, money, and resources to fix and eventually will delay future releases. Integrated security testing makes life simpler for software development teams. That is why DevOps teams habitually embrace the concept known as DevSecOps, which promotes security integration into core DevOps practices. To lessen the chances of vulnerabilities going unobserved during the SDLC, all organizations must add security testing to their existing CI/CD pipeline. Undoubtedly, adding security checks will initially slow down your development cycle. Still, we all need to understand that these steps will improve the security of your organization’s CI/CD pipeline and adds another layer of oversight to ensure security for the end-users. Velocity is the key for every business, where security testing integration is a terrific cream over CI-CD. Thus, it is important to introduce security best practices throughout the build/release pipeline. Conclusion: It is not a secret that security is hard to get right. Still, security is the key in this technologically fast-moving world; therefore, performing security testing is no longer a preference. It should be performed frequently, especially with all critical releases, and should be added to the build/release pipeline for top results. With strong CI/CD security in place, teams can find and fix security issues without notably slowing down the pipeline flow or having to delay/roll back releases. Securing your CI/CD pipelines at every stage and environment that comprise the pipeline should be a priority for any organization that embraces DevOps.
Is It Essential for Lenders and Banks to Embrace Quality Engineering to Achieve Speed and Agility?
Why is good quality engineering important in financial services? Lenders, banks, and insurance companies are increasingly replacing legacy systems and adopting improved technologies across the enterprise, which requires the highest quality engineering and software testing capabilities. Unsurprisingly, their development initiatives are centered on the need to improve efficiencies, add new functionality, and reduce operating costs. It may offer, develop, and bring products to market or incrementally replace existing platforms and solutions while minimizing any business disruption during major or minor release cycles. Quality Engineering must be part of any effective change program to proactively prevent software errors, misfires, malfunctions, and defects that can cause outages, negative client impacts, and regulatory fines. Today’s business demands are numerous and complicated. What do lenders and banks want? A faster time-to-market, including a shorter turnaround time for application rollouts and updates that can keep up with rapidly changing market trends. To reduce costs, as they face increasing pressure to reduce the cost of IT projects and seek intelligent alternatives to reduce project costs. To keep up with technological advancements and the demands of integrated applications that support multiple operating systems and devices. Application stability, which can significantly facilitate an increase in clients and support online exposure demands with zero application downtime. This is where Quality Engineering enters the picture! As stated, “Assurance neither improves nor guarantees quality. It is too late to assure. Quality, good or bad, is already present in the product. To truly meet your customers’ expectations, you must implement a quality engineering approach that instills quality at every stage of the SDLC”. Given the high risk of financial services, quality is a business-critical requirement. As a result, lenders and bankers must adopt a quality-first approach in their software development lifecycle. Quality Engineering entails QE involvement from the start of the SDLC so that quality-related processes run concurrently with development until the final release. This is undoubtedly impossible to accomplish manually, necessitating test automation. The shift-left strategy refers to moving QE to the early stages. However, shifting to the left is no longer sufficient in today’s constantly changing customer demands and volatile financial markets. Quality should be omnipresent, necessitating a shift-everywhere QE strategy. A shift everywhere strategy and a Quality Engineering approach result in an application that scores highly on all key parameters such as functionality, security, reliability, and performance, among others. As businesses look to automate more of their business operations through technology, a well-designed QE plan should include an in-depth and broad-based performance testing plan that identifies trouble spots, recommends solutions that can then be properly implemented, and provides continuous testing. With a shorter time to market, enterprises now have less time to test. What’s next? Tavant – An Absolute Commitment to Quality Engineering Tavant’s QE approach focuses on testing and combines industry best practices with our own methodologies and powerful proprietary tools to guide clients through an ever-changing development environment. Tavant’s Quality Engineering (QE) programs aim to improve the quality of software development and incremental release cycles while avoiding serious technology failures that could have a negative business and brand impact. Our QE experts use a quality management process to ensure that a product/service/platform meets all required specifications as well as all desired operational functionality. Our engineers adhere to a robust process-driven strategy that facilitates and defines specific design goals concerning product/platform/system development roadmaps. Our goal is to track and resolve all bugs, blockers, coding errors, and other issues that may arise and should be addressed before they have a negative business impact. Tavant’s Quality Engineering services are designed to address such challenges throughout the software development and delivery lifecycle. We use the CI/CD approach to ensure faster and higher-quality testing. Rather than relying solely on DevOps for iterative QE, Tavant advises customers on how to establish a dedicated QE strategy and focused action plan that seeks to mitigate and/or eliminate identified risks, enable compliance, and minimize costs. Financial quality engineering services and banks have used QE to test technology deployments for bugs and defects and measure them against internal business and security standards and regulatory mandates through rigorous and thorough performance testing. At the same time, this may satisfy many. Tavant fintech quality engineering services works differently and strives for excellence rather than just meeting minimum standards. We believe speed and accuracy go hand in hand. We appreciate thoroughness, accuracy, and identifying and resolving problems through a well-planned, phased, and executed testing and solution-driven schedule that includes a rigorous back-end testing component. We reimagine software testing for the age of disruption with a ready-to-use test automation platform and a suite of tools and accelerators. Through high-velocity automation, our team helps you spend less time on routine tasks while gaining more insights from data for greater innovation. We elevate testing to the next level by implementing quality engineering throughout the entire lifecycle, from code quality and pipeline quality gates to performance, resiliency, post-production coverage feedback, and everything in between. For more information, visit here or reach out to us at [email protected]. FAQs – Tavant Solutions How does Tavant implement quality engineering for lending institutions?Tavant employs comprehensive quality engineering including automated testing, continuous integration, performance monitoring, and security validation. Their approach ensures rapid deployment while maintaining high reliability and compliance standards. What quality engineering services does Tavant provide to achieve lending agility?Tavant offers test automation frameworks, DevOps implementation, quality assurance consulting, performance optimization, and reliability engineering services that enable faster time-to-market without compromising quality. What is quality engineering in financial services?Quality engineering in financial services encompasses automated testing, continuous quality monitoring, risk-based testing, performance optimization, and security validation to ensure reliable, compliant, and high-performing financial applications. Why do banks need to focus on speed and agility?Banks need speed and agility to compete with fintech companies, meet changing customer expectations, respond to market opportunities quickly, and adapt to regulatory changes in the rapidly evolving financial landscape. How can traditional banks become more agile?Banks can become more agile through cloud adoption, automation, DevOps practices, API-first architectures, continuous integration, and cultural transformation toward iterative development and customer-centric innovation.
7 Reasons Why Software Testing is Important
There is no denying the fact that in software development, bugs can appear in any of the stages of the SDLC. In fact, there is a high possibility that even your final build that is ready to go live has errors of both types, i.e., design, and functionality. Furthermore, there have been numerous instances where the live demo failed miserably because no one thoroughly checked it before — oops! — now you are stressed out, and when that happens, it throws a huge blow in the entire process. That is why; each organization needs to ensure that software testing should be an integral part of the software development life cycle (SDLC). Here are the seven critical reasons, out of many reasons that make software testing important: Saves big bucks– When it comes to software testing, many companies do not see the need for it, or do not budget it properly, and at times, neglect the importance of a quality or testing process. It is always tougher to fix a mistake than to prevent it. Moreover, it is much more expensive. If a bug is discovered late in the game, then you are not just losing big bucks on the immediate cost of fixing the bug, but you are also losing money through lost prospective deals. If bugs are caught in the early stages, it costs much less to fix them and avoid any embarrassment later. Developing software without proper testing is a huge, risky bet. Onboarding testers who are technically sound and experienced is just like a smart investment that will reap us long-term benefits and it will far outweigh the cost of the service. To identify and correct mistakes– Regardless of how skilled and experienced developers we have, we all make mistakes, especially while developing an application that is huge and complex. Admit that there is no such application as a bug-free application. When a code is developed, it is important to test everything that we produce because there is always a possibility of glitches in the system and the only thing that can expose hidden errors, ensure that the system works as expected according to requirements, measure how well your software works before it is installed in a live operation, etc. is software testing. Boost Business– Making software testing an essential part of your software development life cycle lets you enhance the user experience and improves the final product outcome that ensures rock-solid brand presence, brand loyalty, and product recommendations. The well-tested product ensures that we send out the best version of our product into the market that speaks for itself, and word-of-mouth endorsement is priceless. This helps in retaining not only the existing clients but helps to onboard new clients as well. This makes software product testing even more vital. To ensure software security– One more headache that testing relieves is security. Software security is undoubtedly the most sensitive and yet most susceptible part. Cyber-attacks are quite common these days, and security is an important aspect that cannot be ignored at any cost. Notable instances have occurred where customers’ personal information has been stolen or hacked. Security testing of a product not only shields information from these hackers but also makes sure it is not lost or gets corrupted in any form. That is why we all look for trusted products that would bring confidentiality to share our personal information. Application security testing allows to identify and fix many vulnerabilities that ensure a secure product that in turn makes customers feel safe while using the product. With software security testing, we can deliver a trustworthy product to our clients that protects their critical information from Day 1. Validate the user experience– No matter the domain, the user experience is everything. The end purpose of developing any software should be to confer the best satisfaction to your users. Your application may function as required, but in the hands of the user, it could be baffling and inconvenient to know what feature is available where. Since software testing offers a prerequisite user experience, think of it as a trial run before you go live. There is nothing worse than an outraged user who paid for a product that does not work as expected. Fail to evaluate user experience, and your users will not fail to go to your competitor. If users of your application have a great user experience, they will tell their family and friends. And with the burst of social platforms such as Facebook, Instagram, Twitter, etc. positive as well as referrals can spread very quickly. Control Process– How do we know that the application works the way it is supposed to? How can we measure what all requirements are ready to deploy to production and that the quality meets expectations? How do we know how many critical issues are still open? Software development should be measured whether it goes against the requirements or not. The testing phase can help you to know the state of your product’s quality that certifies all features are ready for production. The sooner development teams receive feedback, the quicker they can address issues of both types, i.e., design, and functionality. Using this controlled process, we can build a formidable reputation and brand image, things that are important in the long term. Easy Transitions– Software applications released should be of superior quality and compatible with various OS, devices, platforms, etc. which can be achieved only if we do thorough testing. Even if we are adding a simple feature to our current application, checking compatibility is a good practice to ensure a seamless experience on the go. Ensuring this lets you maintain users and gives them a better experience without any loss in any convenience. This process enables the business to make its products stand out in the market. To Sum It Up: The benefits are noticeably clear. Any company, big or small, should test its system because achieving high quality is necessary. As stated above, software testing is an inseparable part
Six IoT Testing Challenges for Testing Experts
Introduction The Internet of Things (IoT) refers to physical objects embedded with sensors and software that can exchange and collect data over a wireless network. The Internet of Things brings many consumer benefits, like simple remote control, automation, etc. It also brings added software complexity and security risks that require significantly more testing than in the past. IoT devices have evolved to look more like traditional cloud applications, with code that runs in the device itself, as well as an array of dependencies that interact with the outside sources of data such as time or weather. These dependencies can make devices expensive, difficult, and time-consuming to test as it involves real-time sharing of data and collaboration. A study says that more than 6.4 billion Internet of Things (IoT) devices were in use by 2016, and that number will grow to more than 20 billion by 2026, which means that our planet will soon have more connected devices than the human population. Testing these IoT devices becomes quite challenging because of the variety and volume of data this system generates, the heterogeneity of the working environment, and the complexity of the number of working components involved. Challenges in IoT Testing One of the tough challenges for manufacturers and integrators is testing these devices. Let us discuss some challenges associated with the testing of IoT devices: Communication Protocol: IoT devices use various communication protocols such as MQTT (Message Queuing Telemetry Transport), XMPP (Extensible Messaging and Presence Protocol), etc. These protocols aid in the establishment of a connection between devices and servers. Tools/Tech that the testing team is planning to use should support these communication protocols so that APIs written on top of these protocols can be effectively validated which interacts with these devices. Multiple IoT cloud platforms – Azure IoT, IBM Watson, and AWS are the most used cloud IoT platforms that help connect different components of IoT devices. These devices need to be tested across the cloud platforms to ensure their effective usability. In a cloud platform, we have different IoT devices with different capabilities, these devices generate data that can be structured or unstructured and will be sent to a cloud platform.When more devices are deployed on the cloud platform, it becomes difficult to replicate a real-time environment for testing, since there can be a lot of devices that need to be tested on different platforms. IoT security and privacy threats – IoT devices are the most vulnerable to cyber-attacks. Most users think that it’s a manufacturer’s responsibility to secure their devices and, therefore, do nothing to protect them. Cyber-attacks are very common across IoT devices, and security is an important aspect today. Wired systems are much less accessible than non-wired systems. Therefore, one challenge to moving into IoT solutions is that companies open themselves potentially to more risks unless they have a perfect security strategy in place. Beside functional and performance testing, special attention should be paid to the device password policy, data protection, data encryption, regular firmware, or software upgrade testing. Device Diversity – With so many brands, models, versions of the OS, Screen size, etc., it is a challenge to test an IoT application that works perfectly across all devices for all possible combinations that are not practical. Each IoT device has unique capabilities and may perform better in some environments and platforms than others. As a result, they must be tested across platforms for effective usage, and it is critical that we have good test coverage across dozens of devices. There is also a challenge with the version upgrade for the IoT devices along with their software and firmware updates. It becomes critical to test the devices across the IoT platforms with their latest software to ensure all the components are working efficiently after the update. Network Availability (Always online) – Network configuration essentially affects the performance of an IoT device because IoT is all about rapid communication and that too consistently all the time. Though, at times devices experience troubles with network configurations like unreliable internet connections, hindering channels, etc., which poses a challenge of how to test it in all possible network conditions. Data Volume, Data Variety, and Data Velocity (Real-time data testing) – Sensors on all devices simultaneously generate massive data (this data is significantly intricate and unstructured that involves appropriate cleaning of it for the end processing). IoT will be dealing with that data and different varieties of data that cause significant challenges. Gathering, organizing, and evaluating this disintegrated data is not easy as the volume of data can be boosted at any time. Conclusion: There are numerous other challenges to consider in addition to the ones mentioned above. Hardware quality and safety concerns are among other challenges that the testing team faces while testing IoT applications. Building stable and quality IOT applications might seem overpowering and a huge task, but it can be made simpler by proper planning, splitting it down into separate sub-tasks, and setting up a rock-solid test environment to manage cloud and virtualization strategies.
Tavant Named a Major Contender in Everest Group’s Enterprise Quality Assurance Services PEAK Matrix® Assessment 2022
SANTA CLARA, CA. February 3, 2022 SANTA CLARA, CA. February 3, 2022 – Tavant, Silicon Valley’s leading digital products and solutions company, today announced that it has been named a “Major Contender” in Everest Group’s Enterprise Quality Assurance (QA) Services PEAK Matrix® Assessment 2022. Everest Group’s PEAK Matrix® is a proprietary framework for the assessment of market impact, vision, and capability. Tavant has been recognized for its broad range of testing services, from functional to non-functional, and new age testing services such as blockchain and loT testing. The company supports its clients through strong technical knowledge, innovation capabilities, and a focus on customer success. Chakri Devarakonda, Head of Quality Engineering, Tavant, said, “This recognition demonstrates our unwavering commitment to digital transformation and further establishes Tavant as the market leader in QE Services. We connect innovation, digital transformation, and deep domain expertise with a robust portfolio of quality assurance offerings to deliver high-quality products and best-in-class customer experiences.” Tavant leverages modern technologies and processes like AI/ML, analytics, cloud, and agile to help businesses across different industries adapt to changing market dynamics. Tavant’s comprehensive portfolio of QE services includes Digital Assurance Services, New Age Testing Services, Core Testing Services, Smart Test Automation Platform. The company helps enterprises realize exponential value from their digital transformation journeys by accelerating time to market, enabling differentiated customer experiences, lowering the cost of quality, and mitigating risk. Leading analysts and research organizations have recognized the company’s innovative approach to application and software testing services. Tavant also offers proprietary frameworks to help enterprises elevate their end-user experiences: FIRE (Framework for Intelligent and Rapid Execution) –FIRE is an end-to-end automation framework that offers the ability to test across platforms and devices, utilizing behavior-driven tests to enhance testability. It helps in improving the test effectiveness by 64%. Chaos Engineering – A framework that allows solution experimentation on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production. Tavant’s Chaos Engineering provides the ability to understand current pain points and thereby reduce testing effort by over 50%. To learn more about Tavant and its products and services, visit https://tavant.com/services/quality-engineering/. Find Tavant on LinkedIn and Twitter. Media Contact: Michele Nachum [email protected] 1-425-698-7477