Test impact analysis involves concentrating testing efforts on the specific changes made during discrete development activities.

Discover how AI and machine learning reduce flaky tests, cut maintenance costs, and improve accuracy in modern automated testing.

Comprehensive test coverage analysis ensures that retesting methods are strategically matched with the application’s most crucial parts, reducing the possibility of missing possible bugs.

Most software-coverage tools check whether a particular statement has been executed. McCabe Test from McCabe & Associates takes coverage testing a step further by tracking execution paths as well ...

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 ...