Deductive AI raises $7.5 million to automate software debugging with machine learning, helping engineers fix production ...

AI agents aren’t killing agile — they’re forcing it to level up with new roles, faster workflows and smarter ways to measure ...

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

When people think of the way new technologies are developed, they often think of the end product that people see on the shelf ...

A companion paper, Integrating Sustainability into Software Engineering Education: A Course Redesign Initiative, compliments ...

While self-healing agentic test suites can help eliminate the manual intervention consuming engineering cycles, there are key ...

Purpose-Built AI Agents Eliminate Hours of Manual Test Analysis, Accelerating Release Cycles and Empowering Engineering Teams to Ship High-Quality Applications with Unprecedented Speed and Confidence ...

Platform thinking provides a sustainable path forward. It creates QE ecosystems that scale, empower teams and deliver reliability at the speed innovation demands.

At Simulation World Detroit, executives shared their views on the early integration of AI, data, models, and simulations to ...

Artificial intelligence (AI) is automating core parts of software development, forcing engineers to rethink their roles.

Integrating Git version control with validation systems automates medical device software traceability, ensuring instant ...

Today’s test engineers face unprecedented demands as semiconductor designs grow more complex and product cycles accelerate.