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World quality report is a compilation of the findings of an annual global study conducted by Micro Focus and CapGemini.  The report contains the analysis of the responses from QA managers, engineers, analysts across 32 countries in various industry sectors. The primary focus of the World Quality Report is to understand current QA practices and emerging trends. Every year these findings are published and have helped organizations to understand how they can make their business better by releasing better quality products in the market faster.

In this article, we will talk about key takeaways from the World Quality Report published this year.

takeaways from World Quality

Impact of Covid-19

The covid-19 pandemic changed the world in many ways. People stayed at home and turned towards various digital services for their needs. Work from home changed the scenario in the corporate world and transformation towards digital office started in organizations. While digitization and automation had been around for decades now, the pandemic situation spurred those who were slow to adopt them. Needless to say, it meant more demand for software testing.

World Quality Report 2021-2022 findings stated that there was more focus on using AI-based software testing tools for continuous testing to manage the surge in demand for digitization of services.

AI and Agile

The market is competitive when it comes to releasing products with improved features and upgrades. Continuous testing can become a challenge, especially in the current scenario, when the teams are distributed geographically. The technical and business teams have to work like well-oiled machinery to release faster, with absolutely no compromise on the quality.

Augmenting Agile and DevOps with the power of AI is the solution for increasing development velocity. We have a detailed article on this, “10 ways to accelerate DevOps with AI”. Do take out some time to read it.

QA Ops is the next level for DevOps which integrates QA with operations ensuring that all quality norms are defined and followed from the outset of the project and are adhered to till the delivery. It calls for using test automation and AI tools for end-to-end software testing. For more insights on the importance of QA Ops, you can read our article “QA Ops with Intelligent Automation”.

AI Testing Service

Software Testing Evolution

Software testing is a continuously evolving process. It has come a long way from its rudimentary methods to the use of Artificial Intelligence. Read about the journey of software testing in our blog “Evolution of software testing”.

The focus of the organizations is shifting from IT quality to QA Ops i.e. overall quality, which includes process, operations, and the product. End customer experience aligned with the business objectives is the key to successful QA Ops planning. Organizations need to move with time and adopt the latest software testing methodologies to increase development velocity.

Invest wisely

The business stakeholders along with key technical stakeholders have to be on board to implement Intelligent Automation tools in their DevOps process. It is imperative that they must understand the value of AI-based testing tools keeping in mind the business objectives and, of course, the overall ROI.

Once the clarity is achieved, it is good to invest wisely in the improved QA process.

  • Invest in AI-based testing

Adopting AI/ML should be implemented and not just stay as a fancy boardroom talk. Intelligent automation is the way forward to optimize the quality process. Read our blog “How Intelligent Automation optimizes testing” for better insights.

  • Have a holistic test management process in place

The testing process includes planning, executing, and management. It keeps evolving with every release cycle. Hence, investing resources and effort in putting together a holistic test management process should be an integral part of process planning.

  • Get people with the right skillset

While there is a lot of emphasis on using AI/ML tools, it does not mean that human testers will be redundant. They still play a key role in making the testing universe complete. We have prepared a detailed account of the importance of human involvement in testing and the value of AI in our article “Will AI eliminate human involvement in testing?” Read it to get a better understanding of how they both co-exist and make testing better. Having said that, the right people with the right skill sets, technical and business, need to be included in the team.

Team Webomates agrees with the above findings and that is why we relentlessly keep working on improving our process and products to provide guaranteed test execution. Webomates CQ is easy to use and can seamlessly integrate with your CI/CD pipeline, thus taking the entire testing experience to an entirely different level.

If this has piqued your interest and you want to know more, then please click here and schedule a demo, or reach out to us at info@webomates.com.

If you like this blog series please like/follow us Webomates or Aseem.

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