Developing an LLM testing strategy is challenging because the model’s inputs are open-ended and responses are non-deterministic. AI agents couple language models with the ability to take ...

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 ...

Noise, vibration, and harshness (NVH) testing is entering a period of structural change, and the timing is difficult. The global NVH testing market is projected to grow from $2.58 billion in 2025 to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

Learn how AI code assistants eliminate repetitive work, helping QA teams reduce maintenance debt and accelerate software ...

Not sure when to use automation vs AI agents or agentic AI? This guide helps enterprise teams choose based on control, risk, and impact. Traditional automation follows rigid, predefined rules to ...

AI hype is easy to find, whether it’s worries about software agents replacing accountants or hopes for a super-powered finance function with unprecedented predictive abilities. But what isn’t so ...