How can you make quality assurance processes more flexible?

Clarify requirements and ensure quality code production set up the right environments for QA Conduct test coverage and test case review sessions regularly these are some of the things through which you can Improve the Quality Assurance Process Define QA for your team.

- Having well defined requirement and scope documented and shared within teams on confluence. - With AI generation and changing technology, develop bots within organization to assist QA with FAQ like deploying s/w in diff. environment, better approach of testing etc. - When gathering information related to tickets, documentation, client req. easily accessible to reduce dependency. - Having proper tool to log tickets with description, test cases aligned. - By defining and pulling tickets to work with each sprint on priority. - By performing feasibility study of tickets to define scope of testing. - By segregating client builds and releases with internal releases. - Proactive approach to ensures that resources are used efficiently.

Leveraging automation wisely enhances flexibility in quality assurance processes. Start by identifying repetitive and time-consuming tasks suitable for automation, allowing teams to focus on strategic testing aspects. Implement modular and scalable automation frameworks, accommodating changes seamlessly. Regularly update test scripts to align with evolving requirements, ensuring adaptability. Integrate automation with continuous integration tools for real-time feedback, fostering agility. Prioritize test cases for automation based on criticality and frequency, optimizing resources. Establish a balance by combining automated and manual testing, maximizing coverage and flexibility in QA processes.

Feedback and learning mean everything. Without a continuous feedback process, and implementation, we are doubling the chances of failing with our products (especially with digital services). The risk of underestimating feedback and learning is to create something fancy and cool for the ads, but actually useless for the users. Feedback and learning mean everything.

A key part of what makes risk-based testing successful and effective is using risk analysis in every part of the QA process for your product. Checkin in on risk with product and engineering at the start of a project can help guide QA’s focus and priority throughout development. When looking at regression tests or release passes, look for test cases that are Evergreen, cases that haven’t failed in x releases over y months. When these cases pass your risk threshold, pull them out of those regular plans and start breaking down your coverage passes to focus validation on new and unstable content, and use that time previously spent on the Evergreen stuff on penetration or exploratory work.