QA Ops is the next-level process of DevOps and is integral to the development and delivery operations. Its prime objective is to introduce quality from the onset of any project and ensure that all defined quality norms are followed throughout the development and delivery process. With Intelligent Test Automation being the next gen thing, QA Ops can scale up to next level.
QA Ops framework is the interlinking of three major processes of the development and delivery cycle – Quality Assurance, Development, and Delivery. This further implies that the concerned teams have to strive for continuous improvement to ensure that a high-quality product is delivered to the customers. Everyone involved from the conceptualization to realization of the application is accountable for maintaining the quality throughout the process.
The success of QA Ops is based on a higher level of collaboration and communication between all the stakeholders. The QA engineers need to work closely with the development team and operations team to decide on QA strategies and make sure that they are followed stringently.
The following diagram represents 4 key elements that need to be incorporated to embed QA in the core of operations.
Automation Automation accelerates the quality feedback loop, by creating, executing, modifying, and self-healing the test suites. Every build has to undergo functional testing, performance testing, and smoke testing, besides the customized set of tests specific for the module under test. Conducting these tests can be challenging if not conducted smartly. Intelligent automation can save precious man-hours and costs by fast-tracking the whole testing process.
Parallel testing Parallel testing involves executing multiple test cases on a module across various test setups in tandem, at the same time. Needless to say, these tests have to be automated for ideal parallel testing. Parallel testing is important to save time and accelerate the CI/CD pipeline by identifying any flaky tests. The involvement of all the teams ensures that these tests are immediately traced back to their origin and appropriate action is taken.
Scalability Scalability aids in determining the application’s performance under varying load conditions. QA Ops requires to have a test framework and infrastructure in place to conduct scalability testing as and when required.
Integrating development and QA with operations The QA team, the development team, and the operations team need to work together to define the whole QA Ops framework. Involving all the stakeholders from the beginning ensures that clear quality processes are defined from requirement understanding to delivery.
Importance of QA Ops
QA Ops plays a significant role in improving the CI/CD process of organizations. Major merits have been highlighted in this section.
Better quality product Continuous testing maintains an effortless continuity in the CI/CD workflow by delivering faster and high-quality results, leading to a better product.
Faster time to market A high level of collaboration between various teams speeds up the entire workflow, thus shortening the delivery cycles.
Improved testing and bug fixing Improved reporting leads to a better process understanding resulting in improved testing and bug fixing.
Better customer experience Continuous testing leveraging on the power of an intelligent automation framework gives a high quality, stable and reliable product, leading to a better customer experience.
How Webomates contributes to QA Ops using Intelligent Test Automation
The ultimate goal of QA Ops is to improve the CI/CD flow and make it fast and secure without compromising on its stability and robustness. Webomates has the resources and expertise to help you in achieving this goal.
Continuous testing using Intelligent Test Automation Intelligent Test automation is the core strength of Webomates. Our AI-assisted automation can take the testing game to an entirely different level. Webomates’ CI/CD API can be easily embedded in the application of customers’ CI/CD pipeline by integrating seamlessly with Jenkins or CircleCI. QA teams can use Webomates CQ to carry out testing by using mini test suites during development in conjunction with the developers. Defects are triaged and detailed feedback is provided to the developers and other stakeholders via real-time alerts. Webomates applies AI and ML algorithms to its self-healing test automation framework to dynamically adapt the testing scope to any changes. Healed test suites lead to faster testing and development, thus speeding up the entire release process.
Codeless testing Codeless testing means conducting automated testing without writing a code for the test script. It empowers the development and testing teams by generating the test cases without writing extra lines of code. The teams can channelize their time and efforts on the value and outcome of testing, delivering a high-quality product in a shorter period. Webomates CQ provides the codeless testing solution that works in 2 phases: 1. Creation: Once the test strategy is decided, our AI discovery and generation tool generates test scripts that are compatible with multiple automation frameworks. 2. Execution & Analysis: Webomates’ AI codeless engine effortlessly modifies (heal) the test cases, scripts and re-executes them as per the changes in the features, or as per the bug fix. Detailed defect triage reports and videos are shared across the board, which makes it easier for all the stakeholders to analyze and work on their strategies. This adds significant value to the QA Ops process.
Smoke and sanity testing Webomates CQ helps in conducting effective smoke testing, using various Continuous Testing methodologies that run using intelligent automation. It provides better accuracy in testing and the results are generated within a short period, approximately 15 mins to 1 hour. Webomates AI tools also help in generating and automating new test scenarios within a matter of hours, thus reducing manual efforts during sanity testing.
Effortless performance testing Webomates CQ has a facility for a complete package for functional and performance tests. Functional test cases can be converted to performance test cases just by a click. It not only saves the time and effort needed for writing the scripts but also saves the cost of hiring a performance testing expert. Performance scripts are updated and maintained to reflect any changes in functional tests. Load testingis completely on-demand and can be invoked as and when required.
Ability to scale up or scale down the testing Webomates provides services that can help you in generating and automating the right test cases using the AI Modeler engine. Our tool reduces the human effort of writing or maintaining the Automation suite by more than 50%. We also have a provision of scaling up and down of functional testing as per the need. Partner with us for defining your QA Ops framework. Click here to schedule a demo, or reach out to us at info@webomates.com
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