Medha Kiran Gaonkar
Senior Quality Engineer
Testimonials | Quality Engineer
Tavant has been a game-changer in my
professional journey. The company’s
commitment to innovation, continuous
learning, and inclusive culture has
empowered me to grow both
personally and professionally.
Every day brings new challenges,
supportive leadership, and
new opportunities to make a
real impact.
Tavant has been a game-changer in my professional journey. The company’s commitment to innovation, continuous learning, and inclusive culture has empowered me to grow both personally and professionally. Every day brings new challenges, supportive leadership, and new opportunities to make a real impact.
Dheeraj Gambhir
Associate Director
Testimonials | Quality Engineering
What I value most about Tavant is
its inclusive culture and supportive
leadership. The focus on learning,
innovation, automation, and AI
ensures growth opportunities
for all, while fostering a
strong sense of belonging
where every individual
can thrive and contribute
meaningfully.
What I value most about Tavant is its inclusive culture and supportive leadership. The focus on learning, innovation, automation, and AI ensures growth opportunities for all, while fostering a strong sense of belonging where every individual can thrive and contribute meaningfully.
Agile Testing Transformation: Rethinking How We Deliver Quality
Agile Testing Transformation is the process of moving an organization’s testing practices to an agile way of working, resulting in better quality of the delivered product. At its core, Agile Testing Transformation isn’t just a technical shift but a mindset change. It’s all about making testing faster, smarter, and more aligned with what really matters: delivering value. According to Evan Leybourn of The Agile Director, Agile focuses on three fundamental pillars: Process Agility, Technical Agility, and Business Agility. Let’s explore how these pillars are implemented in Quality Engineering. Process Agility: Adapting Testing for Continuous Improvement Process agility emphasizes creating flexibility in how teams approach testing, ensuring quality remains a priority even as plans evolve. Testing becomes a dynamic part of the development process, adapting quickly to shifting priorities and requirements. Here’s how this can be implemented in testing: Smaller, Faster Deliveries: Breaking down testing into smaller, manageable cycles helps teams validate updates incrementally instead of waiting for lengthy development phases. Early feedback from these smaller deliveries allows testers to identify and address issues sooner, leading to continuous product improvement. Frameworks That Fit Testing Needs: Agile methodologies like Scrum and SAFe provide a structure for testing that prioritizes efficiency without being overly restrictive. The focus is on delivering quality outcomes rather than adhering to rigid testing protocols. Continuous Learning in Testing: Agile encourages testers to experiment with new tools and approaches, refine their strategies, and grow through each iteration. When an approach does not work, teams adapt and apply their insights to future projects, ensuring ongoing improvement in their testing processes. Technical Agility: Building Quality That Lasts While process agility focuses on how teams work, technical agility emphasizes what they’re building. It’s about creating systems and solutions that aren’t just functional but are built to last and adapt as needs evolve. Here’s what technical agility looks like in action, especially in testing: Quality as the Foundation: Practices like Test-Driven Development (writing tests before the code) and pair programming (two minds tackling one problem) ensure quality isn’t an afterthought — it’s baked into every step of the process. Automation: The Ultimate Testing Ally: Automation transforms testing from a bottleneck to a superpower. Automated tests and deployment pipelines handle repetitive tasks, catch issues early, and free up time for more profound, more creative testing efforts. Business Agility: Making It Bigger Than Teams Agility isn’t just for developers or product teams — it’s about bringing everyone together to make quality a shared responsibility. Business agility connects the dots across departments and leadership, ensuring that testing isn’t just a task for “someone else” but something everyone contributes to. Here’s what it looks like: Testing Beyond the Testing Team: Agile isn’t just about how testers work. It’s about everyone — from finance to HR — being part of a system that makes testing smoother and more effective. With the whole organization aligned, testing becomes a collaborative effort, not a bottleneck. Enabling Leaders, Not Micromanagers: Leadership is evolving. Managers must ensure that testers and teams have the autonomy, resources, and environment necessary to excel in their work. Customer-Centric Mindset: Ultimately, testing goes beyond simply identifying bugs — it’s about guaranteeing that what we provide is effective for our customers. Why Agile Testing Transformation Matters Agile Testing Transformation changes how we approach testing to deliver faster, more intelligent, and higher-quality results. Instead of seeing testing as something that happens at the end of the process, it’s about weaving it into every stage of development. When teams adopt agile testing, they catch issues early, improve collaboration between testers and developers, and stay aligned with customer needs as they change. This shift alters conventional perspectives on testing. It’s no longer just about identifying bugs — it’s about ensuring each process stage contributes value and enhances the product. Agile Testing Transformation fosters a “quality-first” attitude, where testing continually adapts to emerging demands, integrating quality seamlessly into the whole development process. Conclusion Agile Testing Transformation is more than a methodology change; it is a paradigm shift in how we think about and approach quality in software development. By embracing agility in processes, technology, and business practices, organizations can ensure that testing becomes a proactive, value-driven activity. The transformation fosters collaboration, innovation, and adaptability, making quality an integral part of every step in the development lifecycle. Agile Testing Transformation is not just an option but a necessity for organizations aiming to thrive in a fast-paced, customer-centric world.
Crafting a Culture of Quality-Driven Development
The world of software development is often weighed down by one metric: defects. Our obsessions are bug fixes, crash corrections, and error reduction. While this emphasis on technical issues is understandable, it gives a false impression of the quality of the software. Usability, maintainability, scalability, security, and user satisfaction are all components of true quality, which goes well beyond the mere absence of bugs. The quest for quality in the dynamic field of software development extends well beyond eliminating defects. Establishing a culture that prioritizes quality, continual improvement, and a commitment to delivering products that not only fulfill but also surpass expectations is key. If we’re going to build truly unique software, we need to change our thinking. This does not mean completely ignoring bugs but placing them within a broader context of quality attributes. So, how do we escape this trap and build a culture where quality is not just an aspiration but a core value? Here are some fundamental principles of a quality-driven development culture: Shifting Mindsets: From Testing to Quality Assurance: Testing is an essential part of ensuring a product’s quality, but a quality-driven culture goes beyond simply identifying and resolving bugs. It demands a shift in mindset from mere testing to comprehensive quality assurance. This change entails taking preventative steps like code reviews, design inspections, open communication around potential issues, prioritizing refactoring, and recognizing accomplishments in quality alongside product launches. Embracing Continuous Improvement: Continuous improvement is essential to a quality-driven development culture. View defects not as failures but as opportunities to learn and improve. Analyze their root causes, implement preventative measures, and communicate the team’s lessons learned. Motivate your team to embrace an attitude of continuous improvement and learning. Frequent feedback loops, retrospectives, and the integration of lessons from past projects create an environment that develops and changes with every development cycle. Metrics Beyond Bugs: While tracking and fixing bugs is crucial to maintaining software quality, it doesn’t provide a complete picture of a project’s success or health. Use insightful measurements that go beyond the conventional defect count. Measure things like user satisfaction, code coverage, and performance benchmarks. These indicators give you a comprehensive picture of your product’s caliber and can point your team toward areas that need work and development. Investing in the Professional Development of Team Members: A culture that prioritizes quality understands the value of supporting team members’ professional growth. Encourage certifications, workshops, and training courses that improve their abilities. By investing in training, team members remain updated with evolving technologies and learn better ways of doing things. This could lead to greater productivity and creativity. Shared Ownership: Testers and QA teams aren’t the only ones accountable for quality. Everyone engaged in the development process—from developers and designers to executives and product managers—has a shared responsibility for it. Encourage open lines of communication between the development team, stakeholders, and other departments. Promote cross-functional collaboration to ensure that everyone is on the same page with the overall objective of producing a high-quality product. Automation is Key: Use automation to expedite monotonous work so your team can concentrate on more intricate, high-value jobs. In addition to lowering the risk of errors, automated testing, continuous integration, and deployment pipelines also make development processes more dependable and efficient while freeing up human resources for more strategically important tasks. Conclusion In summary, creating a quality-driven development culture involves more than just focusing on defects; it also entails adopting a holistic approach to excellence, which calls for dedication, teamwork, and readiness to continuously learn and adapt. Your team will be able to constantly surpass the expectations of your stakeholders and users by cultivating this culture. The benefits of quality-driven development are well worth the continued journey. Let’s move beyond defects and create software that surpasses users’ expectations and stands the test of time.
Generative AI – Impact on Software Testing
What is Generative AI? Generative AI uses deep learning algorithms, like those in machine translation, to analyze massive datasets. It utilizes the patterns and relationships it discovers in the data to generate entirely new outputs that resemble, but differ from, what it has previously seen. Relevance in Software Testing: Generative AI has significant implications for the software testing field. It can help with test data generation, code development, and repetitive activity automation, boosting productivity and efficiency. In software testing, it is acting as a notable change by automating and optimizing various aspects of the QA process. Trends and Opportunities for Generative AI in Testing: Advancements In Test Case Generation: Not only can generative AI automatically generate a variety of test cases and scenarios, but it can also cover a wide range of scenarios that human testers could miss. It may also analyze current code and software features to generate thorough test cases independently. This guarantees that tests cover a more comprehensive range of scenarios and frees up testers’ time. It is a creative tool with fast input processing speed and nearly free per invocation. It must be utilized to help and encourage, bounce ideas off, and get ideas for new directions. Intelligent Test Data Generation: Generating realistic test data is crucial for testing software systems’ robustness and scalability. Generative AI can generate diverse test data sets, improving the accuracy and effectiveness of software testing. While generative AI has solved the challenge of test data production for relatively simple systems, there is still much to learn regarding complicated application test data generation. Indeed, generative AI can help with certain modest jobs in this problem field. Enhanced Test Automation: Generative AI can automate writing test scripts, reducing manual effort. It is even capable of modifying these scripts to fit various programming languages. This can significantly reduce the manual effort required to create and maintain test suites, leading to increased productivity and faster release cycles. Generative AI can and should help with writing test automation. It excels as a code completion tool (Examples include CodeAI and GitHub’s CoPilot). In response to a prompt or remark, it can automatically develop methods or construct scaffolding. It can identify dubious code. It can translate an implementation between different frameworks or languages. It is an excellent teaching tool that demonstrates how to utilize a new library and can offer thorough examples when necessary. It can suggest code snippets for tests or code snippets given tests. Predictive Analytics for Issues: Generative AI can assist in diagnosing the underlying causes of problems by analyzing patterns in code and previous bug reports, as well as historical data and finding trends. By utilizing AI and machine learning techniques, it can anticipate defects, identify patterns, and learn from past errors. Improved Test Coverage: Traditional software testing methods have issues ensuring sufficient test coverage. Manually covering all possible circumstances is typically challenging. Nevertheless, generative AI can analyze user behavior patterns and application code to find edge cases and produce test cases with thorough coverage. Continuous Integration and Delivery: Generative AI can automatically build and run tests as part of pipelines for continuous integration and delivery anytime changes are made to the codebase. This helps maintain lofty standards of quality throughout the development process and guarantees that any new features or bug fixes do not introduce novel issues. Challenges and Limitations of Generative AI in Testing: Data Quality: The quality of AI-generated tests heavily relies on the quality and quantity of data used to train the model. Insufficient data or data with errors can lead to nonsensical or ineffective test cases (e.g., focusing on a specific user demographic and missing functionality for others). AI-generated tests might not always be relevant or practical. The model’s dependence on training data can lead to nonsensical tests if the data is inadequate or lacks context. Data Bias: Generative AI models can inadvertently learn and reproduce biases present in the training data. Biases in the training data can lead to biased tests, potentially overlooking critical functionality or security vulnerabilities. For example, a model trained on data from a specific region or demographic might miss crucial functionality relevant to other user groups. This can lead to software that caters to a particular subset of users and overlooks the needs of others. Ethical Considerations: Using generative AI raises ethical concerns, such as potential misuse or malicious intent. Establishing ethical guidelines and safeguards is highly critical. Computational Cost: Training and running generative AI models, especially complex ones, require a large amount of computer power. This can be a hurdle for smaller organizations with limited resources. Ongoing efforts are being made to create more effective models that need fewer processing resources. Limited Creativity and Human Oversight: Although generative AI models might perform well on specific tasks they are trained for, they need help generalizing to unseen scenarios and lack human abilities like genuine creativity. They require ongoing training and adaptation to maintain effectiveness. For example, testers (human oversight) are essential in defining clear testing objectives, analyzing test findings, and guaranteeing overall software quality. Summary: Generative AI will only empower humans and not replace them. Overall, it has the potential to revolutionize the way software testing is conducted, leading to faster, more efficient, and more effective testing processes. The truth is, ensuring software quality is an intricate challenge that demands critical analysis and a profound grasp of various subjects. Companies prioritizing quality expertise and equipping their experts with suitable tools, including AI, will thrive. Conversely, those relying on simplistic solutions instead of critical thinking will falter. Human testers remain vital for defining testing goals, interpreting test results, and applying critical thinking skills to ensure software quality. Generative AI should be seen to augment human testers, not eliminate them.
Maximizing the Impact of Test Automation
As we are all aware, software permeates various aspects of our lives, from mobile apps to business-essential systems. As software becomes more complicated, reliability and quality become harder to assure. Test automation proves particularly valuable when this occurs. Time has witnessed the evolution of test automation into an integral aspect of software development, resulting in improved efficiency and cost-effectiveness. Enhancing effectiveness, precision, and feedback cycles through automation, we can achieve higher quality. Common Pitfalls in Test Automation By leveraging test automation, software quality and test execution speed can be significantly improved. Insufficient execution and management of test automation hinder many organizations, resulting in subpar results. ROI’s effectiveness is often threatened by difficulties in ensuring long-term success and precise ROI calculation. The article offers practical guidance on leveraging test automation to generate the greatest possible impact. Effective Test Automation Implementation and Management: To maximize the impact of test automation, a comprehensive approach that includes many areas of testing, development, and collaboration is required. The success of automation testing depends on implementing and managing test automation effectively. Here is a detailed way to achieve this goal: Define Clear Objectives: With the right strategies in place, test automation can yield substantial results. Starting with the goals, detail your test automation objectives. With a clear understanding of the desired outcomes, tailor your automation testing strategy to align with your goals. Choose the Right Tool/Framework: Selecting the appropriate tools and frameworks is necessary. A dependable, adaptable, and user-friendly tool should be chosen by considering tech stack, project requirements, and team proficiency. In the grand scheme of things, this will be a time and effort conserving solution. Solid testing approach: By concentrating on the most important tests, test automation can be accomplished efficiently. Automation’s applicability is limited to certain tests. By focusing on these tests, you can optimize the value and scope they offer. Group tests according to their significance, risk, and execution frequency. Testing should start with the most critical areas to achieve prompt results. Prioritization becomes more manageable when focusing on essential aspects. Maintainable Test Scripts: Create test scripts that are modular, efficient, and maintainable, ensuring scalability. Implement design patterns like Page Object Model (POM), use data-driven testing, and keyword-driven testing, maintain a clear structure, apply coding standards, ensure proper documentation, and leverage best practices for creating reliable automated tests. By combining these methods, one can create well-organized and well-documented automated tests, highlighting the advantages of industry standards. Test Data Management: Consistent test results are achieved by expertly managing test data, allowing for reliable conclusions. By incorporating automated data setup and cleanup, you can improve your testing process. Continuous Integration and Continuous Delivery (CI/CD): Implementing test automation in your CI/CD pipeline enables tests to be triggered by code commits, resulting in early issue detection, quick feedback on changes, and prevention of defects in production. Test Environment Management: Emulate the production environment in test environments for optimal results. resemble those in production. By doing this, automation results appropriately mirror real-world situations. Continuous Learning and Training: Offer testing team training and skill enhancement opportunities. Verify that they possess the necessary skills to construct, maintain, and execute automated tests. Stay current on the latest automation methods, instruments, and technology. Investing in training yields returns in the form of improved team skills and industry awareness. Reporting and Monitoring: Create thorough reports that detail test outcomes, coverage data, and defect patterns. Visualizing testing progress, dashboards play a crucial role. By leveraging detailed reporting and analytics, you can monitor the performance of automation and uncover patterns. Get buy-in from stakeholders and Feedback Loop: Early stakeholder involvement is crucial. By involving all individuals from the onset, a unified vision can be fostered. Ensure optimal impact, gather stakeholder feedback, monitor automation efficiency, and adjust iteratively. Conducting reviews and retrospectives at regular intervals helps determine the effectiveness of your test automation. Identifying areas for improvement is crucial to adjusting your strategy. Summary In conclusion, we discussed the pros and cons of test automation and how to overcome any difficulties. In addition, we provide guidance on improving test automation, including selecting the appropriate tools and frameworks, developing a thorough testing approach, and involving key stakeholders early in the process. Effective test automation management is essential for success. Setting clear goals, monitoring progress, and continuously improving the process will ensure that your organization capitalize on the full potential of test automation. By acting and implementing these best practices in your own organizations, your organization can experience enhanced efficiency, accuracy, and faster feedback loops.
Empowering DevOps Testing: The Strategic Evolution of Quality Assurance
Incorporating software testing into the DevOps paradigm can immensely affect project results. The main idea behind DevOps is that it promotes cooperation between different departments and helps to unify diverse teams. Teamwork is crucial in a DevOps approach. It fosters closer collaboration between the testers, developers, and operations staff in which they eliminate age-old walls that existed previously. This all-encompassing integrated approach not only addresses the voids across different teams but also provides quality, tested software with consistent quality to customers all the time to match the customer’s needs/expectations. Here are some of the critical benefits of empowering software testers in DevOps: Faster Delivery: DevOps focuses on CI/CD as a process of building, testing, and releasing software in much smaller increments than those used in traditional development approaches. CI/CD requires automation. It is crucial for there to be automated tests that skilled testers manage and execute. Automating the testing process will enable developers to detect potential errors early enough and rectify them at the initial stage rather than escalate them. In addition, it involves working hand in glove with developers to ascertain that the code is sufficiently and correctly tested during all stages of its development. For instance, testers can make the CI/CD process smooth through the automation of testing activities that reduce the time taken to release features to the user while at the same time ensuring the user gets timely quality updates. Continuous Feedback and Iterative Improvement: Incorporating testers’ feedback into the development process creates a dynamic analysis, adjustment, and refinement loop. This allows developers to resolve problems in these applications, optimize them by improving their quality, and make the interface more user-friendly. Therefore, every cycle offers an opportunity for implementing enhancement, leading to continuous improvement in the software. The iterative development process requires constant feedback from the testers. The resulting insights enable improvements in software quality and facilitate innovations to ensure that every iteration benefits from the successes and lessons of the previous iterations. The result is an iteratively improving software that is equipped to meet today’s demands and near-future challenges or openings. Increased Collaboration: DevOps is a transformational technique that breaks down the barriers within an organization as it involves easy flow of communication among varied teams. Empowering testers to participate in the whole development process encourages a culture that embraces shared ownership and accountability for developing high-quality software. Such alteration triggers team spirit that makes everyone involved, including developers, testers, and other stakeholders, feel responsible for the success of the whole product. Testers also bring a fresh take to design discussions, sprint planning, and retrospectives. They offer valuable input in which they share their expertise, which is essential for developing the overall software architecture and functionality. As such, it increases synergies, improving quality at large and developing products more suited to users’ expectations. Improved Quality: When testers are given the authority to uphold the quality standard, they become adept at spotting and reporting defects at the nascent stages of development. As a result of this empowerment, it is possible to build robust testing methodologies that thoroughly examine the software from various perspectives. The emphasis shifts towards complete test coverage that covers numerous situations and use cases. In effect, such as in the case of an empowered tester, the outcome is improved through quality software that satisfies and surpasses users’ expectations. Increased Customer Satisfaction: Enhanced software quality through empowered testers leads to timely bug fixes, immediate feature deliveries, and consequently higher customer satisfaction. Customers feel higher trust and satisfaction when they use a product without many problems and receive easy access to new functions. The efforts of such empowered testers directly influence this cycle of customer satisfaction, loyalty, and advocacy. They not only provide great user experiences, but they also establish an impressive brand impression. Together with prompt responses to bugs and the provision of innovative feature updates, they lay a solid basis for ensuring clients remain faithful to the brand and recommend it to others positively. Cultural Transformation: When testers are empowered, they are not confined to their role but are seen as essential contributors to the development process. This helps keep everyone in mind that every member’s input is necessary for producing a first-rate product, and the group makes this possible by involving them. There is thus this sense of shared duty in which everyone in the company works towards improving processes, seeking out choke points, and providing innovative thought for the benefit of all. In summary, empowering software testers in a DevOps environment creates a positive ripple effect. It accelerates the feedback loop, enhances software quality, and, most importantly, serves as a cornerstone for cultivating a DevOps culture within the organization. Empowered testers are critical enablers for successfully adopting and implementing DevOps principles and practices by supporting cooperation and an initiative-taking QA approach.
7 Principles for Quality at Speed
The term “Quality at Speed” is synonymous with today’s modern software development practices, focusing on delivering high-quality software as fast as possible. These are suggestions that (we hope) will help teams ship quality software quickly. The specific details might vary depending on which framework or methodology you are working with (e.g., Agile, DevOps), but below are seven principles for delivering top-quality software development as fast as possible. 1.Shift Left Testing: It focuses on testing earlier in the Software Development Life Cycle (SDLC) than conventional practices. It implies that testing is done concurrently with the specific requirements gathering & design phase and continues up to the development phase. The purpose of it is to detect and correct flaws as early as possible – when they are the least expensive to fix. Collaboration between developers, testers, and other stakeholders is required. This ensures everyone is on the same page and testing is built into the development process. 2.Automate as much as possible: At its core, automation is efficiency, reducing the repetition, removing hand-touches, and guaranteeing process repeatability. Beyond the ability to develop and deploy more quickly, automation improves the overall quality of software systems while at a significantly lower probability of introducing human error. It covers the automation of repetitive operations such as code compilation, testing, logging, monitoring, infrastructure provisioning, deployment, release management, etc. Employ tools like Terraform, AWS Cloud Formation, etc., to automate infrastructure provisioning, reducing manual configuration and error-prone setups. 3.Continuous Integration, Continuous Delivery, and Continuous Testing (CI/CD/CT): Continuous integration (CI) entails automatically integrating code updates from many developers into a shared repository that happens many times daily. Continuous Delivery (CD) complements CI by automating the deployment process, allowing for more frequent and dependable releases. CI/CD pipelines can include automated testing, deployment to staging environments, and automatic deployment to production if all tests work fine. Continuous testing (CT) is the practice of running automated tests at all stages of the CI/CD pipeline, including unit tests, integration tests, regression tests, performance tests, and security tests. Automated testing gives instant feedback, allowing us to test our code and ensure that recent changes do not result in regression issues. 4.Security as Code: Security as Code is a set of principles and practices that allow security to be integrated into the software development life cycle (SDLC) in a repeatable and automated way. Incorporating security as part of the software development lifecycle (DevSecOps) means that security is no longer an afterthought. Security as Code suggests how security must be treated as a first-class citizen in the SDLC and how we can implement security measures in code. Security-testing tools can analyze the source code to identify potential weaknesses and non-conformities. It allows for the automation of security actions and simplifies scaling secure operations. It provides security cost reduction as well. 5.Create a culture of quality: Quality is everyone’s responsibility. This is one responsibility not delegated by a specialized QA team but also by the entire team involved. Teams must establish a culture in which every team member is responsible for delivering quality software. Developer, tester, designer, and other stakeholders — whoever impacts the product becomes accountable for the quality. Cultivate a culture of quality. We need to define expectations, give frequent feedback, celebrate successes, and hold everyone responsible for what they deliver. 6.Empowerment and Learning: We want teams to feel responsible for what they deliver and get increasingly better at their job. Over time, it results in better quality with less error. Fail fast is the mantra; experimenting must be encouraged, with failure being seen as an opportunity to gain experience and grow. By investing in training, team members remain current with evolving technologies and better ways of doing things. It could make for greater productivity and creativity. 7.Build small, incremental modules: Agile development practices such as Scrum or Kanban can help teams build small, incremental batches. These techniques help teams break down massive projects into bite-sized tasks that can be executed. All these principles allow developers’ teams to deliver quality software at speed, adapting to changes with the requirements while meeting users’ expectations for robustness and responsiveness in a highly competitive and rapidly evolving market. Together, these practices let teams deliver high-quality software fast, evolve the product or service, and satisfy customers’ expectations of dependability and speed, which are crucial in a world that provides software faster than you can count.
Test Automation Coexists Well with Exploratory Testing
In exploratory testing, the tester analyses the software system without utilizing a formal test plan or script and instead relies on their expertise and intuition to spot any flaws. It is notably helpful for detecting brand-new, unforeseen problems as well as weaknesses that less formal testing methods can overlook. Also, it is a fantastic technique to evaluate user experience and assess the software from the viewpoint of the user. On the other hand, end-to-end automated regression testing is a more formalized method of testing that uses automated testing tools and scripts to conduct a series of pre-defined tests on the program. Ensuring that new software system additions do not negatively impact its functionality is a crucial part of software testing. After changes have been made, a series of automated tests must be run to verify that the software operates as expected. Here are the top 10 reasons we believe that reliable automated end-to-end regression testing is crucial for software testing and that, in the absence of it, exploratory testing can be jeopardized: Coverage: Automatic end-to-end regression testing can examine a wide range of situations, giving full coverage of the software’s functionality. Potential problems could go unnoticed during exploratory testing if certain conditions or components of the product are not examined. Precision: As automated end-to-end regression testing is not subject to human biases, errors, or oversights, it can produce more accurate and dependable results. Exploratory testing can be subjective and based on the tester’s perception, which might produce incorrect results or lack valuable information. Scalability: Automated end-to-end regression testing can scale up or down depending on the program’s complexity and the project’s demands. Especially for large and complicated software systems, exploratory testing cannot be scalable as it can be difficult to test all the functionality manually. Uniformity: Automated end-to-end regression testing guarantees consistency in the testing process by ensuring that the same tests are rerun. Exploratory testing relies heavily on the tester’s knowledge and judgment, which makes it challenging to conduct tests consistently. Human error: Exploratory testing is more likely to involve human mistakes, which could lead to overlooked flaws or false positives. By conducting tests regularly and accurately, automated end-to-end regression testing can help lower the chance of human mistakes. Maintenance: Maintaining test suites as the software develops without automated end-to-end regression testing might be difficult. Exploratory testing’s effectiveness may be jeopardized if it takes a lot of work to keep up with software updates. Continuous Integration and Delivery: Integrating testing into a continuous integration and delivery (CI/CD) pipeline can be problematic without automated end-to-end regression testing. Because of its nature, exploratory testing does not fit into a CI/CD pipeline, which could slow down software delivery and reduce its efficacy. Timesaving: Automated end-to-end regression testing can save time and effort by swiftly completing a substantial number of tests. Conversely, exploratory testing may take a long time and require a lot of work to find and recreate problems. Cost-effectiveness: Automatic end-to-end regression testing reduces the requirement for manual testing and lowers the likelihood of software flaws, both of which can result in cost savings. Exploratory testing may sometimes offer a different amount of coverage than automated testing and can be expensive, mainly when performed in detail. We agree that automated testing, however, might only be able to catch some potential problems and might take a lot of time and money to set up and maintain, but it is very cost-effective eventually. Risk reduction: Automated end-to-end regression testing helps reduce the risk of software failures by ensuring that new modifications do not impact existing functionality. Exploratory testing may not offer the same level of risk reduction as automated testing, but it can assist in uncovering potential problems. In conclusion, exploratory testing and automated end-to-end regression testing are two different approaches to software testing with their own unique advantages and disadvantages. While exploratory testing might offer insightful information about software problems, more is needed to replace reliable automated end-to-end regression testing. Automated end-to-end regression testing is necessary to guarantee thorough and trustworthy testing of software systems. Using both forms of testing can assist assure complete and reliable software testing.
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
To Automate Testing or Not to Automate – The Reality of Test Automation
Organizations today face many Quality Assurance (QA) challenges – time constraints in development and test cycles, executing large volumes of test cases, testing diverse legacy applications, and mitigating the impact of ripple effects that arise from configuration changes in application modules. The best way to deal with this situation is to adopt a well-integrated and robust automation solution that can predict and simulate business scenarios. Automation testing uses automated tools or programs to execute a series of tests that check the quality of a program or product. The significant feature of automated testing is its ability to perform hundreds of tests in minutes and record outcomes with accuracy and speed. Tests run repetitively based on programmed expectations, which can often be too tedious to perform manually. Vendors today provide automation testing services/platforms as part of their quality engineering services to ensure continuous feedback into the product lifecycle. THE DEMAND FOR AUTOMATION TESTING According to the Global Automation Testing Market report, the automated testing industry is expected to grow at 14.2% CAGR during the forecast period from 2021 to 2026. In another survey conducted by Compuware, most enterprises think that manual testing is one of the major hindrances to a business’s success. Additionally, more than 90% of respondents believe automation testing to be the most critical factor in accelerating innovation. And as a result, the demand for smart automation testing services is booming. WHY DO BUSINESSES WANT AUTOMATION IN TESTING? With automation testing, both developers and quality analysts can be sure of the quality of their products without lengthy test execution cycles. Automated testing can give organizations quick feedback on product or software performance. In May 2019, the difference between test execution efforts of manual and automation testing was recorded. The results showed that for a test case set of 1000 Full Regression, manual testing took 160 hours, while smart test automation required only 16 hours, a clear saving of 90% of test execution efforts. These results have defined the efficiency of executing automation testing in technology developments. EXPECTATIONS VERSUS REALITY IN AUTOMATION TESTING We’ve established that automation testing services are a necessity to improve your product performance effectively. But there is also another side to it. Faster release cycle with quality, notwithstanding, automation testing services also come with some limitations: Everything Cannot Be Automated Some businesses have started to consider whether every test can be automated, in other words, 100% test automation. But the belief that a higher level of automation is always desirable and achievable is a myth. While specific tests may benefit from being automated, others cannot be automated. Also remember, that automated test cases will only be as good as the programming behind them. Costs Versus ROI Automation testing needs to be designed based on whether the automation tests can save manual effort and offer a long-term return on investment (ROI). Automation testing tends to require a higher investment initially, with potential earnings and saving realized later. Additionally, the ROI of automation testing can be dependent on the tool that is used to conduct the tests as well as the complexity of tests implemented. Staying Objective While Test Automation can have a tremendous impact on product quality and returns, it is essential to understand its limitations and set realistic expectations. To achieve significant success with test automation, teams must first define the results objectively and carefully plan the tests without bias creeping in. Our objective should be to automate 100% of the test that should be automated instead of automating every test. So, figuring out what to automate (or not to automate) should be given the utmost importance before starting any automation activity. THE FUTURE OF AUTOMATION TESTING In today’s highly competitive market, businesses are seeking faster time-to-market along with the pressure of continuing to offer a superior product or solution. As a result, companies run more tests to find bugs faster and release their products or upgrades more quickly. The role of AI in automation testing is one of the most prominent automation trends in 2021. As AI-powered tools continue to advance, businesses will manage their automation testing even more efficiently and at speed. Machine Learning and AI testing will also develop automatic research methods and use advanced analytics to track results.
Tavant Launches AI-Powered Next-Gen Test Automation Framework
SANTA CLARA, Calif., June 3, 2021 Tavant, a digital products and solutions company, today announced the new version of its end-to-end test automation framework, FIRE 5.0 (Framework for Intelligent and Rapid Execution). Tavant’s FIRE 5.0 is a comprehensive tool and technology agnostic-test automation framework. This framework can orchestrate multiple automation tools and technologies, including (but not limited to) Selenium, Appium, Cypress, Protractor, Microfocus and Java, C#, F#, Python, and PHP. FIRE 5.0 accelerates the time to market while simultaneously aiding developers to enable dual-shift of the software development lifecycle to gauge the consumer experience and provide continuous feedback into the system. Powered by AI, the test automation framework ensures speed to market and superior quality software. FIRE 5.0 is now more powerful with an updated framework that covers a broader set of technologies and addresses the major issues of test execution time for analytics, API, performance, security, web, and mobile. The customizable, nonproprietary, and loosely coupled platform contains domain-specific features for industries like Media, Manufacturing, and Fintech can be used in snippets to fill in the gaps to achieve optimization where it is needed the most while providing quick turnaround and comprehensive automated test coverage with limited manual intervention. “While most organizations are able to achieve 80-90% efficiency in their optimization due to automation, they are rarely able to increase efficiency beyond 90%,” said Chakri Devarakonda, Head of Quality Engineering, Tavant. “FIRE 5.0 is helping clients achieve this higher efficiency with its solution accelerators to increase productivity, enhance quality, and deliver a faster time to market providing a competitive strategic market advantage.” Test automation is an integral part of an organization’s test strategy, and our goal is to continuously innovate and improve to bring AI-powered next-gen test automation solutions that address changing market dynamics due to digital transformation such as DevOps, agile software development, and AI, which have resulted in increasing challenges for businesses. With its updated features, FIRE 5.0 users now experience the ease of scripting, faster feedback, enhanced test coverage, distributed execution, continuous testing, and cloud-based execution for accelerated execution. Prominent features include: BDD (Behavior Driven Development) enabled tests DB supported centralized test reporting Performance tests Custom device farm (OTT, Mobile) New Relic integration for test status Slack integration for critical failure notification Test health check & auto maintenance minders CI / CD compliant Cloud device farm For more information on Tavant FIRE visit: https://tavant.com/quality-engineering/fire Find Tavant on LinkedIn and Twitter. Media Contact: Len Fernandes Firecracker PR (888) 317-4687 ext. 707 [email protected]
Tavant’s Tech Leaders Win 2020 Stevie® Awards for Women in Business
How Great Leaders Help Their Teams Excel
Great Leaders expect great work from their teams. It is the ongoing commitment and deliberate practice that helps build a great team. The question is how great leaders discover their team’s potential and allow them to express it fully. Developing the team is like growing seeds to becoming a tree. The seed needs three ingredients – water, correct temperature or warmth, and good soil (environment). During its early stages of growth, the seedling relies upon the food supplies stored with it in the seed until it is large enough for its leaves to begin making food through photosynthesis. Similarly, a team needs three ingredients to develop – ‘Trust,’ ‘Coaching,’ and ‘Opportunities to stretch.’ Establishing a foundation of trust and acceptance: Just as the seed needs good soil, likewise, a team also needs a right environment- an atmosphere of trust and acceptance that builds the foundation for having meaningful and open conversations, beyond just day to day regular activities or performance. Development discussions include aptitudes, interests, guiding the different paths, and how leaders can help team members achieve what they want. Investing time and coaching the team: Water and warmth are needed for the growth of a seed. Similarly, nurturing and supporting the team is essential for their growth. Great leaders take time out from their schedule to invest, coach, and grow their team. And when the right opportunity comes, they delegate work to enable the team to demonstrate their potential. Provide opportunities to stretch: As a plant grows, the leaves begin to make their food by absorbing the sunlight and through photosynthesis. Similarly, as the team grows, leaders need to provide challenging opportunities because giving someone a good challenge, and a real stretch allows them to develop and unlock their potential. Teams then set a high bar and provide support to those working to reach it. Plants need water, warmth, nutrients from the soil, and light to continue to grow. Similarly, a team also needs regular feedback, rewards & recognitions to enable them to grow and excel. Successful Ways to Encourage Employee Development Provide regular feedback: Regular feedback is a gift that every team member receives to realize those aspects where something is not being done in the right manner and needs correction. A great leader can point out those blind spots and enable us to find the way out to resolve and do course corrections. This gift truly nourished a person’s growth. Encourage and Applaud: Development is a journey – when too many obstacles and challenges are there, some may tend to give up. Great leaders work together with their team to improve their performance. If you believe in their potential, they will meet the confidence and excel. Holding the team members accountable for their performance is as important as encouraging and motivating them. Appreciation for their excellent work and accomplishments to team members are like nutrients in the soil that enable the plant to grow faster and stronger. Wrapping up Personalized learning is the way of life today. Every person should own their growth and career path. The sky is the limit, especially when changes are happening fast. There is no limit to creativity and innovation in today’s world. Great leaders help their team to explore, develop on their potential, and excel in everything they do. Testing the changes, Testing the changes, Testing the changes 3
Tavant’s Next-Gen QE Offerings Recognized by Everest Group in its PEAK MatrixTM Assessment Report
SANTA CLARA, Calif., January 09, 2020 Tavant, a leading digital products and solutions company, has announced that it has been recognized as an Aspirant in Everest Group’s Next-Generation Quality Assurance (QA) Services PEAK Matrix® Assessment 2020 report. The Next-Gen Quality Assurance (QA) Services PEAK Matrix Assessment intends to assess the evolving QA market landscape. “We are at the cusp of a major transformation wherein one of the biggest challenges for organizations is enabling a smooth shift to digital technology. The pervasiveness of this seamless digital ecosystem has set higher expectations from the Quality Engineering function in terms of delivering highly reliable, repeatable, and predictable results. There has been a paradigm shift as Testing and Quality Assurance have evolved to Quality Engineering (QE) that empowers organizations to embrace digital transformation. Tavant’s new-age digital assurance solutions- Analytics, Data Quality Engineering, AI/ML, Intelligent Automation, Enterprise Mobility, and IoT enable organizations to accelerate their digital transformation journey,” said Meera Krishnan, VP, Quality Engineering, Tavant. “We are delighted to be recognized by Everest Group as we continue to leverage next-gen digital technologies to help our clients envision a digital future in the testing arena. Tavant’s Digital Assurance solution addresses the multifaceted needs of ‘New-Age’ Digital testing. We have successfully enabled businesses to embrace digital assurance and testing capabilities around these new-age digital technologies,” Meera further added. To access the complete report, click here. Find Tavant on LinkedIn and Twitter.
Tavant Appoints Srinivasa Chakravarthy Devarakonda as Quality Engineering Business Head
SANTA CLARA, Calif., December 03, 2019 Tavant, a leading digital products, and solutions company has announced the appointment of Srinivasa Chakravarthy Devarakonda as head of the company’s Quality Engineering business. Srinivasa Chakravarthy Devarakonda (Chakri) brings 19 years of experience in Quality Engineering and Digital Assurance services. He has been instrumental in setting up a large QE Center of Excellence (CoE) teams for many enterprises. In his new role, he will be responsible for driving and executing quality engineering strategies across product modules, ensure adoption and implementation of various testing methodologies for Tavant’s testing offerings such as Core Testing Services, Quality Engineering services, Digital Assurance Testing Services, New Age testing services such as AI/ML Testing, Analytics and Big Data Testing, RPA-Leveraged Testing, Salesforce Testing and Cloud Testing to help scale QE processes. Chakri has a proven track record in successfully developing and selling large deals in the IT space of Consulting, Professional Services, Quality Assurance Testing using a global delivery model. Prior to his appointment to this role, Chakri held the position of Solution Engineering Head at Cigniti, where he helped clients in defining and implementing QE services in Agile and DevOps that allowed fostering business growth. He has a Masters in Telecommunications and Network Security from Pace University and a Bachelor of Engineering from Madras University. “We are thrilled to welcome Chakri to our team. We firmly believe that his inputs and strategic direction will help us accelerate our digital transformation journey and ensure end-user delight,” said Raj Nair, Business Unit Head, Quality Engineering, Tavant. “I am excited to be a part of the company, which leverages advanced software testing services to help businesses achieve operational agility and accelerate their testing journey by automating critical aspects of lifecycle. My experience in Quality Engineering will expedite Tavant’s vision of providing more sophisticated testing solutions for customers in this rapidly changing business conditions,” Chakri commented. Find Tavant on LinkedIn and Twitter.
Tavant Launches Robust & Scalable Encompass Testing Shared Services
SANTA CLARA, Calif., June 18, 2018 Tavant, a leading digital products, and solutions company for the consumer lending industry, today announced the launch of its new testing offering, Encompass Testing Shared Services (ETSS) that will foster innovation and enable the company to deliver higher value. Tavant’s Encompass Testing Shared Services (ETSS) offers unparalleled agility, flexibility, and customization to reduce time, cost, and complexity. The solution includes an on-demand, multi-tenant model that provides a ‘pay-per-use’ approach for reducing scheduled maintenance costs and optimizing efforts while enabling greater operational agility. The company’s best practices combined with a large pool of skilled resources will boost the value offered by Encompass Testing Shared Services to its customers. On-demand services offer enterprises much-needed financial flexibility in the form of usage-based pricing. By switching to Encompass Testing Shared Services, these organizations can effectively eliminate quality issues before releasing new Encompass changes. “The need to bring newer products to the market quickly and frequently requires lending organizations to effect changes to Encompass at an unprecedented pace. To enable this, Tavant has released its Encompass Testing Shared Services offering that will provide lending organizations with experienced Encompass testers in a source-when-you-need and pay-as-you-go model. With a range of services that includes test automation, regression test setup, and end-to-end functional test setup, this unique delivery model provides a flexible approach combined with a world-class team of Encompass testing specialists to deliver the right mix of testing services you need,” observed Santosh Subramanian, Tavant’s head of testing practice. “In line with Tavant’s priority to provide value to customers, the Encompass Testing Shared Services model will drastically reduce the expenditure on Encompass change management, while increasing the quality and improving the maturity of application delivery. By transitioning testing activities to this model, organizations will be able to better leverage their Encompass admins and their end-users to design and implement Encompass changes faster,” Subramanian further substantiated. Find Tavant on LinkedIn and Twitter. Media Contact Vibhor Mishra Tavant +1-408-519-5400 [email protected]
Tavant Launches Accelerated Continuous Testing Roadshow in the U.S.
SANTA CLARA, Calif., June 13, 2017 – Tavant, a specialized global provider of testing solutions, today announced the launch of its national campaign to showcase its Accelerated Continuous Testing (ACT) methodology. ACT leverages Tavant’s proprietary suite of solutions accelerators – FIRE (Framework for Intelligent and Rapid Execution) that addresses the test automation needs for analytics, API, performance, security, web and mobile. Tavant’s quality engineering team comprises of test automation engineers with deep domain experience in consumer lending, media & entertainment, retail, and manufacturing industries. “ACT ensures testing starts right from the inception of a project and enables continuous improvement, innovation, and best practice implementation,” said Meera Krishnan, VP, Quality Engineering, Tavant. “It provides comprehensive test coverage, requires minimal manual intervention and ensures higher software quality with a faster return on investments.” Forrester cited Functional Test Execution Automation (FTEA), Test Data Management (TDM) and performance testing as the top continuous services by Tavant in the April 2017 report, Vendor Landscape: Continuous Testing Services For Agile And DevOps Environments. During the roadshow, Tavant will conduct dedicated, customized workshops for selected partners and prospective customers. For more details contact us on [email protected]. Find Tavant on LinkedIn and Twitter. Media Contacts: Vibhor Mishra Tavant [email protected] +1 (408) 519 5400
Tavant to Attend eTail East 2016 in Boston
Santa Clara, Calif., August 10, 2016: Tavant, a leading global provider of specialized software solutions, announced today that it will be participating in the eTail East Conference, August 15-17, 2016, Sheraton, Boston. The eTail East 2016 is one the most innovative eCommerce show on the East Coast for investors, thought-leaders and established etailers. At the event, Tavant Technologies will showcase its cutting-edge expertise in analytics, data insights, consumer insights, pricing analytics, customer engagement, real-time dashboards, mobility, cloud infrastructure integration, agile development process, automated testing and more. “There is a huge opportunity for etailers today to embrace a more comprehensive and holistic approach to analytics and mobility,” said Vibhor Mishra, Senior Director, Marketing, Tavant Technologies. “At eTail East 2016, we will share insights on how we have helped retailers to overcome their data challenges, problems in taxonomy, search optimization, recommendations engines and much more.” Call +1-866-9-828268 or email [email protected] to schedule a meeting with our experts. Find Tavant Technologies on LinkedIn and Twitter. Media Contact: Vibhor Mishra Tavant Technologies Inc. +1 (408) 519-5400 [email protected] tavant.com
Tavant to Exhibit at the 2016 NAB Show
SANTA CLARA, Calif. April 14, 2016: Tavant, a leading global provider of specialized software solutions, today announced that it will be exhibiting at the 2016 NAB Show at the Las Vegas Convention Center, Nevada from April 18 – 21. At the conference, Tavant will be showcasing its software solutions for the cable & broadcasting industry. Tavant experts will share best practices in the areas of programmatic advertising, OTT content management, and advanced analytics to deliver personalized content. The next-gen customized solutions address the changing landscape of the industry. “We specialize in the art of adapting technology to the unique needs of our customers, carving a special niche for ourselves in the media industry. Our specialized solutions have helped global organizations in defining data-as-a-product, data-as-a-service and solving optimization challenges using traditional data warehouses as well as big data driven solutions,” said Ravi Peravali, VP, Media & Entertainment, Tavant Technologies. Tavant’s experience in the broadcasting industry includes CMS to enable a rich and engaging experience, content personalization, subscription, identity, and entitlement, advertising (media planning, campaign management, ad server, revenue and reach optimization), insights from multi-channel viewership and integration with video advertising platforms for VOD. Tavant’s unparalleled industry knowledge coupled with leading edge solutions make them the preferred partner for the top players in the industry for more than 10 years. Meet Tavant experts at Booth N626 to learn more. Send an email to [email protected] to schedule a meeting. Find Tavant Technologies on LinkedIn and Twitter. Media Contact: Vibhor Mishra Tavant Technologies +1 (408) 519-5400 [email protected] tavant.com
Tavant to Attend the Casual Connect 2013, San Francisco.
Santa Clara, CA, July 16, 2013 : Tavant, a leading Software solutions provider to the Interactive Entertainment Industry, today announced that it will be present at the 2013 Casual Connect to be held during July 30 – August 1, at the Hilton San Francisco Union Sq. in San Francisco, California. At the event, Tavant subject matter experts will be sharing best practices and the technology know-how on developing advanced online, social, and mobile games. The team will also be having in-depth discussions with the delegates and industry peers on technology areas such as developing gaming platforms, community websites, online stores, and analytics systems for casual game development. The experts will be sharing success stories on how Tavant is helping top gaming companies develop solutions for monetizing content, providing detailed analytics and simplifying transactions. As a development partner for companies building social and mobile games using leading-edge technologies, Tavant handles both cross-platform UI and backend services. Tavant manages all technical aspects of game development while the studio retains full control over the game design and art style. To schedule a meeting with us, send an email us at [email protected] About Casual Connect Casual Connect USA is produced by the Casual Games Association and is the premiere event for the casual games industry with over 5,500 professionals attending each year. Casual Connect brings the most talented and knowledgeable experts in the casual gaming field together to further the casual games industry with the best networking and learning opportunities. About Tavant Technologies Tavant Technologies is a specialized software solutions & services provider that leverages its expertise to provide impactful results to its customers. We have leveraged our unrivaled capabilities and domain insights to create game changing results for leading businesses across chosen industry verticals. We are known for our long-lasting customer relationships, engineering excellence and passionate employees. Founded in 2000, we are headquartered in Santa Clara, California and service customers across North America, Europe, and Asia-Pacific.