According to IDC, GenAI-based tools will be capable of writing 70% of software tests by 2028 through identifying edge cases that traditional testing might overlook. Generative AI tools can now ...

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 ...

A person who tested GPT-5 told The Information it outperformed Claude Sonnet 4 in side-by-side comparisons. That’s just one ...

Software reliability growth models (SRGMs) offer a quantitative means of predicting the improvement in reliability as faults are detected and rectified throughout the testing and debugging phases.

MuukTest, a software QA testing startup wants to shake up the market with a new AI agent that generates test suites from a prompt. Every piece of software needs to go through software quality ...

Software testing mathematically guarantees the authenticity of source code to establish operational safety. ... The analyzer’s technology is based on rigorously specified mathematical models that ...

“Testing the effects of adversarial attacks on machine learning models is one of the goals of Dioptra,” NIST wrote in a press release. “The open source software, available for free download ...

Windsurf has introduced its first set of SWE-1 models, aimed at supporting the full range of software engineering tasks, not limited to code generation. The lineup consists of three models SWE-1, SWE- ...

Simulation data in AI models. Data preparation is the crucial first step in AI model-based designs for automotive applications. Data is paramount because AI models are trained based on the data.