It happens when metrics suggest that a system is well tested, but important behaviours, risks, or failure scenarios remain ...

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

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 ...

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

The approach toward software testing has drastically changed over the years. It has changed from manual testing to automation frameworks and now to AI-based testing. It isn’t just about increasing ...

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 ...

Software testing is a critical part of the software and product development cycle. For years, quality assurance (QA) has been the final gate ...

Software teams sometimes ship multiple releases in a single day. But speed alone doesn’t guarantee success. What truly separates high-performing DevOps teams from the rest is how well they manage ...

Choosing the right test management tool directly impacts your team's ability to ship quality software fast. QA teams today juggle manual tests, automated suites, scattered documentation, and ...

A newly drafted IEEE standard will bring more consistency to defect metrics in analog/mixed (AMS) designs, a long-overdue step that has become too difficult to ignore in the costly heterogeneous ...