The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...

In 2020, it was projected that U.S. companies lost over $2 trillion due to poor-quality software. These costs came from unsuccessful projects, legacy software and operational failures, adding to a ...

With the faster rate of software development today, AI in testing is transforming the organizational approach to software Quality Assurance (QA). Organizations are implementing Artificial Intelligence ...

Mutation testing is a fault-based software validation technique that involves introducing small, systematic changes (or “mutants”) into programme code to assess the capability of test suites in ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Continuous experimentation in software development is an approach that integrates the systematic evaluation of new features and service enhancements directly within live environments. By iteratively ...

Overcoming these obstacles is a priority for APAC organisations as the need for software-powered innovation rises, which translates to a greater scrutiny on application digital risks. The notion of ...

SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick start guide. Picture this: You and your team have spent a tremendous amount of ...