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

Explore how intelligent software testing strengthens safety, boosts performance, and supports innovation from mobile apps to ...

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

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 ...

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

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 ...

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 ...

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 ...