Testing isn't optional. Every AI platform interprets your data differently. What works perfectly in ChatGPT might fail completely in Perplexity. Test ...
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 ...
Warning: This graphic requires JavaScript. Please enable JavaScript for the best experience. Imagine you are redesigning your living space. You could hire an interior ...
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 ...
Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...
Automated Crash Reproduction (ACR) is an area of software testing research that aims to reproduce software crashes to improve developers' ability to debug programs. There has been little progress in ...
Abstract: Test automation intrusive to the devices under test is difficult to apply on closed or uncommon touch screen systems, e.g., a Switch game console or a digital instrument running a ...
QTPIE turns the driving exam into a phone on the dashboard: its dual cameras and sensors watch road and driver, scoring speed, head-turns, and lane discipline while an AI voice guides each maneuver ...
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