Spike testing assesses how well your system handles sudden, extreme surges in user load. This performance test simulates ...

From deep research to image generation, better prompts unlock better outcomes. Follow my step-by-step guide for the best results.

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

ToolKitX’s privacy-first HSE Software reflects a broader shift toward intelligent, data-driven safety management across ...

Compliance is one of the most persistent bottlenecks in regulated software development, often requiring weeks or months of manual documentation after products are built. In this episode of DEMO, Keith ...

Anthropic's latest AI model has found more than 500 previously unknown high-severity security flaws in open-source libraries ...

We test dozens of laptops every year here at ZDNET: from the latest MacBooks to the best Windows PCs, aiming for a dual approach. On one hand, we run a series of benchmarking programs to gather ...

When internet services platform Cloudflare suffered an outage in November, it took a big chunk of the online world down with it. Major platforms like ChatGPT, X, and Canva became unreachable. So did ...

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 ...

Abstract: Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.