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

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 ...

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

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 ...