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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mining Idioms from Source Code · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1404.0417/</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/1404.0417/feed.xml" rel="self" type="application/rss+xml" /><item><title>Mining Idioms from Source Code — mentioned by mallamanis</title><link>https://news.ycombinator.com/item?id=7915169</link><guid isPermaLink="false">urn:hackerpapers:mention:1404.0417:7915169</guid><pubDate>Thu, 19 Jun 2014 08:30:29 GMT</pubDate><description>&lt;p&gt;This is a new and very interesting area in machine learning and software engineering. Anyone interested might also find the following papers interesting too Hindle, Abram, et al. &amp;quot;On the naturalness of software.&amp;quot; Software Engineering (ICSE), 2012 34th International Conference on. IEEE, 2012. Tu, Zhaopeng, Zhendong Su, and Prem Devanbu. &amp;quot;On the Localness of Software.&amp;quot; Nguyen, Tung Thanh, et al. &amp;quot;A statistical semantic language model for source code.&amp;quot; Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering. ACM, 2013. Campbell, Joshua Charles, Abram Hindle, and José…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1404.0417/"&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>
