Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.

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.

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

PADERBORN, Germany & WIXOM, Mich., February 24, 2026--dSPACE, a leading provider of solutions for the development of ...

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

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, ...

Beyond just testing software, red team exercises reveal critical operational gaps. They allow hospitals to build and test emergency procedures in controlled environments before a life-threatening ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...