Organizations that treat AI adoption as both a technical evolution and a cultural transformation see the most lasting impact.

Parallel development is here. See tactics to manage AI generated code variations, reduce PR clutter, and shift testing to ...

The 2024 DORA Accelerate State of DevOps Report provides a warning: AI use was associated with a 7% decrease in stability when not paired with systemic safeguards (small batch sizes and testing), ...

Master the essentials of user acceptance testing. See the steps project managers must follow to validate software with end ...

Testing evolved into a real-time, always-on process built directly into development, and became known as Instant QA.

Discover essential factors for choosing the right enterprise testing tool—scalability, integration, usability, cost, and security for better quality.

AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

In the race to build and release software faster, many organizations unintentionally overlook one critical aspect: security and process integrity within the Software Development Life Cycle (SDLC).

The Microtest Group, a European manufacturer of test systems and testing of chips on packages and silicon wafers, has ...

Before a car rolls off the production line, manufacturers run virtual tests on it. Simulating tires is particularly ...

In the world of software, web apps, and AI platforms, the original MVP model is too slow, too clunky, and increasingly ...