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.

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, ...

As we transition towards a digital world, the importance of software is witnessing immense growth. Major global organizations have been investing significantly in creating high-quality software ...