Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...

Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the ...

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 ...

We all get tempted to try that new app or the OS everyone’s talking about. It’s fun, but testing new software on your main system is risky. A lot can go wrong. You might introduce security issues, ...