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: Most information technology (IT) companies still rely on manual approaches to manage and track software bugs during testing sessions. This traditional method is time-consuming, error-prone, ...

In Part 1 of our 3-part series on air cargo automation, Manuel Wehner (MW), Project Manager and Research Associate at the Fraunhofer Institute for Material Flow and Logistics IML, touched on the ...

Abstract: Achieving reliable and trustworthy automated software testing requires a synergistic approach that leverages both human expertise and AI capabilities. This position paper argues that active ...