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 ...

The 13th annual report reveals a 24% income gap between strategic leaders and ICs, while new data shows hands-on AI ...

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

Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

While thorough testing and quality assurance checks have always been important steps in the software release and updating processes, they’re taking on a new and higher significance in an ...

LambdaTest, a cloud-based software testing platform, has raised $38 million in a Series D funding round as it looks to expand its presence in existing markets and improve its AI capabilities. The ...

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

Leapwork recently released new research showing that while confidence in AI-driven software testing is growing rapidly, accuracy, stability, and ongoing manual effort remain decisive factors in how ...

DeviQA named a leader in G2’s Winter 2026 Testing and QA Providers category, based on verified customer reviews ...

Software-defined radio is transforming test and measurement by replacing rigid hardware with adaptable software, enabling ...