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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Survey on Machine Learning Techniques for Source Code Analysis · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2110.09610/</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/2110.09610/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Survey on Machine Learning Techniques for Source Code Analysis — HN submission</title><link>https://news.ycombinator.com/item?id=33772552</link><guid isPermaLink="false">urn:hackerpapers:submission:2110.09610:33772552</guid><pubDate>Mon, 28 Nov 2022 12:03:11 GMT</pubDate><description>&lt;p&gt;A Survey on Machine Learning Techniques for Source Code Analysis&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2110.09610/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item><item><title>A Survey on Machine Learning Techniques for Source Code Analysis — mentioned by wslh</title><link>https://news.ycombinator.com/item?id=33772548</link><guid isPermaLink="false">urn:hackerpapers:mention:2110.09610:33772548</guid><pubDate>Mon, 28 Nov 2022 12:02:45 GMT</pubDate><description>&lt;p&gt;There are no general algorithms that can report a &amp;quot;no&amp;quot; to general source code. The maybe is obviously not considered in the context of this discussion thread about ML. It is obvious that ML. A simple search on Internet could give you resources like this: https://arxiv.org/abs/2110.09610&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2110.09610/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item><item><title>A Survey on Machine Learning Techniques for Source Code Analysis — HN submission</title><link>https://news.ycombinator.com/item?id=31959903</link><guid isPermaLink="false">urn:hackerpapers:submission:2110.09610:31959903</guid><pubDate>Sat, 02 Jul 2022 15:35:25 GMT</pubDate><description>&lt;p&gt;A Survey on Machine Learning Techniques for Source Code Analysis&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2110.09610/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item></channel></rss>
