The purpose of tracking and monitoring software engineering metrics is to assess the current product or process performance, enhance it, and anticipate the quality after the software development ...

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

Analyzing software metrics is an important facet to predicting quality in test system software as it helps to reduce complexity. Metrics analysis provides a quantitative assessment of how well the ...

Software normally used to assess the degree to which products are “assembly friendly” is now used to measure whether or not new designs are really improvements over the models they replace. The ...

Implementing agentic software engineering requires more than connecting an AI model to your repositories—it starts by curating your company’s core engineering knowledge.

Software engineering teams have tried all sorts of ways to measure the software development process and developer productivity. Here’s why DORA metrics are becoming the industry standard. For years, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...