AI-DLC is an openly accessible AI-native methodology designed to help organisations use AI in the software development process for building complex systems at scale ...

Carlos Arguelles spoke about Amazon’s inflection points in engineering productivity at QCon San Francisco, where he explained ...

Find out what’s really behind testing hires that fail (hint: it’s rarely because the tester couldn’t handle the job!) ...

Managing generative AI use across the software development cycle may mean mixing and matching relevant tools, metrics, and approaches ...

New entrants to the increasingly lucrative software testing market include Drizz, which is today announcing a $2.7 million ...

Metamorphic testing (MT) is an established software testing methodology suitable for testing various types of systems under test (SUTs), but identifying and implementing metamorphic relations (MRs) ...

Current AI, including multimodal models, fails at robust visual regression testing, missing structural changes that pixel-based tools flag as false positives. This article proposes a CNN-based ...

We’ve developed a comprehensive two-part methodology to do that. The autonomous vehicle “Driver’s Licensing Test” evaluates autonomous vehicles via on-road competency tests, just like ...

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 ...