Art

J-GLOBAL ID：202002278908167577   Reference number：20A0776908

A Survey of Machine Learning for Big Code and Naturalness

ビッグコードと自然性のための機械学習の調査【JST・京大機械翻訳】

Author (4)： Allamanis Miltiadis (Microsoft Research, Cambridge, United Kingdom) ,  Barr Earl T. (University College London, Gower Street, United Kingdom) ,  Devanbu Premkumar (University of California, Davis, California, USA) ,  Sutton Charles (University of Edinburgh and The Alan Turing Institute, Edinburgh, United Kingdom)
Material： ACM Computing Surveys  (Survey and Tutorial Journal of the ACM (Association for Computing Machinery))
Volume： 51  Issue： 4  Page： 1-37  Publication year： 2018 
JST Material Number： E0003B  ISSN： 0360-0300  Document type： Article
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Research at the intersection o...

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Thesaurus term： stochastic model ,  similarity ,  intersection ,  programming language ,  software engineering ,  *Machine Learning ,  *Learning ,  natural language ,  source code ,  mathematical model
Semi thesaurus term： 設計原理 ,  自然性 , 【Automatic Indexing@JST】

Author keywords (4)： Big code ,  code naturalness ,  machine learning ,  software engineering tools

JST classification (4)： Applied programming languages  (JD03052Y) ,  General-purpose programming language  (JD03051H) ,  Artificial intelligence  (JE08000Z) ,  Natural language processing  (JE06000L)

Terms in the title (2)： 機械学習 ,  調査