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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Comprehensive Study on Large Language Models for Mutation Testing · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.09843/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2406.09843/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Comprehensive Study on Large Language Models for Mutation Testing — mentioned by jungsteven</title><link>https://news.ycombinator.com/item?id=40862270</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.09843:40862270</guid><pubDate>Wed, 03 Jul 2024 02:37:41 GMT</pubDate><description>&lt;p&gt;Hey engineer here. Mutation testing may not be a familiar concept. To put it simply, it tells you how effective your unit test cases are at catching faults by injecting faults into your codebase. If you are interested in learning more about mutation testing and how big tech companies use it, read: - State of Mutation Testing at Google: https://research.google/pubs/state-of-mutation-testing-at-go... - Industrial Application of Mutation Testing: https://homes.cs.washington.edu/~rjust/publ/industrial_mutat... - LLM-based Mutation Testing: https://arxiv.org/pdf/2406.09843 - Medium Blog on…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.09843/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item></channel></rss>
