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Mozilla to use machine learning to find code bugs before they ship

Safi Bello

Ars Technica ---------- In a bid to cut the number of coding errors made in its Firefox browser, Mozilla is deploying Clever-Commit, a machine-learning-driven coding assistant developed in conjunction with game developer Ubisoft. Clever-Commit analyzes code changes as developers commit them to the Firefox codebase. It compares them to all the code it has seen before to see if they look similar to code that the system knows to be buggy. If the assistant thinks that a commit looks suspicious, it warns the developer. Presuming its analysis is correct, it means that the bug can be fixed before it gets committed into the source repository. Clever-Commit can even suggest fixes for the bugs that it finds. Initially, Mozilla plans to use Clever-Commit during code reviews, and in time this will expand to other phases of development, too. It works with all three of the languages that Mozilla uses for Firefox: C++, JavaScript, and Rust. To learn more click on the picture below to read the article.

Mozilla to use machine learning to find code bugs before they ship - Read More from Ars Technica

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