引导代码合成使用深度神经网络

Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering Pub Date : 2016-11-01 DOI:10.1145/2950290.2983951

Carol V. Alexandru

{"title":"引导代码合成使用深度神经网络","authors":"Carol V. Alexandru","doi":"10.1145/2950290.2983951","DOIUrl":null,"url":null,"abstract":"Can we teach computers how to program? Recent advances in neural network research reveal that certain neural networks are able not only to learn the syntax, grammar and semantics of arbitrary character sequences, but also synthesize new samples `in the style of' the original training data. We explore the adaptation of these techniques to code classification, comprehension and completion.","PeriodicalId":20532,"journal":{"name":"Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Guided code synthesis using deep neural networks\",\"authors\":\"Carol V. Alexandru\",\"doi\":\"10.1145/2950290.2983951\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Can we teach computers how to program? Recent advances in neural network research reveal that certain neural networks are able not only to learn the syntax, grammar and semantics of arbitrary character sequences, but also synthesize new samples `in the style of' the original training data. We explore the adaptation of these techniques to code classification, comprehension and completion.\",\"PeriodicalId\":20532,\"journal\":{\"name\":\"Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2950290.2983951\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2950290.2983951","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 11

摘要

我们能教计算机如何编程吗?神经网络研究的最新进展表明，某些神经网络不仅能够学习任意字符序列的句法、语法和语义，而且能够“以”原始训练数据的“风格”合成新的样本。我们探讨了这些技术在代码分类、理解和补全方面的适应性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Guided code synthesis using deep neural networks

Can we teach computers how to program? Recent advances in neural network research reveal that certain neural networks are able not only to learn the syntax, grammar and semantics of arbitrary character sequences, but also synthesize new samples `in the style of' the original training data. We explore the adaptation of these techniques to code classification, comprehension and completion.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering

自引率

0.00%

发文量