AI is powerful, but it is not magic. Just because developers use AI tools does not mean outcomes will improve automatically.
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 ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More One of the major challenges leaders of software companies face is giving ...
The benefits of measuring developer productivity are grounds for heated debate, depending on whom you ask. And since defining and tracking it can be tenuous, putting a greater focus on streamlining ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
When developing software, ideally its performance is what matters to the users. But how can IT reliably measure an application’s performance? Each software creation may be vastly different, as are the ...
Artificial intelligence is now part of modern software development. The tools available to engineers today are enabling new ...
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