Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.
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, ...
Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...
Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository ...
Update implements Jakarta EE 11 platform and brings support for Jakarta Data repositories and virtual threads.
Abstract: The rapid evolution of software systems has made traditional testing methods unsuitable to provide quality, speed, and responsiveness to applications in modern development. This paper ...
Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder's research team built a new secrets detection method and scanned 5 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results