QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity.

According to the the Urals Civil Aviation Plant, the PNK-800 is the "brain" of the UTS-800 aircraft, the most important part of the onboard avionics ...

Consulting firms are often tapped to support these transformations, for their teams can bring deep experience and creativity ...

In a world of AI résumé slop, skills-based hiring is becoming increasingly important to filter through thousands of candidates.

Abstract: As the new “Tools” column editor, I’m excited to kick off this role by exploring one of the most rapidly evolving areas in software engineering: AI-powered testing tools. These tools promise ...