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 ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Abstract: The growing complexity of software systems and the need for more rapid, high-quality software releases have created the need for intelligent and automated testing mechanisms. Drawing on ...

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

Choosing the right test management tool directly impacts your team's ability to ship quality software fast. QA teams today juggle manual tests, automated suites, scattered documentation, and ...

Abstract: New approaches to software testing are required due to the rising complexity of today’s software applications and the rapid growth of software engineering practices. Among these methods, one ...

Over 300,000 new types of ransomware and other malicious software are discovered daily, according to the IT security research institute AV-TEST. Computer viruses can slow your devices, create a slew ...

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 ...

Dianna Gunn built her first WordPress website in 2008. Since then, she's poured thousands of hours into understanding how websites and online businesses work. She's shared what she's learned on blogs ...

The software testing landscape is undergoing a seismic shift. For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring ...