Navigating the Complexities of IoT Software Testing Testing connected devices isn’t like testing your average app. It’s ...
The company first demoed SIMA (which stands for “scalable instructable multiworld agent”) last year. But this new version has ...
A companion paper, Integrating Sustainability into Software Engineering Education: A Course Redesign Initiative, compliments ...
Artificial intelligence (AI) is automating core parts of software development, forcing engineers to rethink their roles.
The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...
Qodo calls its secret sauce context engineering — a system-level approach to managing everything the model sees when making a ...
Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...
AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...
Abstract: Traditional model development methods often lack systematic consideration. Based on the principles and methods of systems engineering, combined with the actual needs of brake system model ...
Platform thinking provides a sustainable path forward. It creates QE ecosystems that scale, empower teams and deliver reliability at the speed innovation demands.