It’s no secret that AI has set off a flurry of rethinking how to complete processes in all sorts of industries. This thinking has also had an effect on the quality assurance (QA) industry. The ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

Overview: Explains why generative AI needs a new approach to software testingLists top tools transforming QA automation and evaluationExamines how QA roles and ...

In a recent article about upgrading continuous testing for generative AI, I asked how code generation tools, copilots, and other generative AI capabilities would impact quality assurance (QA) and ...

All QA professionals know the difference between a test script and a test case and the overlap between them, but few have the patience to analyze each. It can speed up testing and make tests more ...

Can automated test tools eliminate QA? Your email has been sent As users and IT continue to look for ways to shorten application development timeframes, automating large portions of QA seems to ...

Rapidly increasing chip and package complexity, coupled with an incessant demand for more reliability, has triggered a frenzy of alliances and working relationships that are starting to redefine how ...