Boa:分析超大规模代码语料库

Robert Dyer, H. Nguyen, Hridesh Rajan, T. Nguyen
{"title":"Boa:分析超大规模代码语料库","authors":"Robert Dyer, H. Nguyen, Hridesh Rajan, T. Nguyen","doi":"10.1145/2384716.2384752","DOIUrl":null,"url":null,"abstract":"Software repositories contain an enormous amount of information such as revisions and bugs. Analyzing this data requires knowledge in mining software repositories and a large amount of infrastructure. We present our infrastructure Boa to ease such analyses. Our results show writing analyses with our framework is simpler and executes faster.","PeriodicalId":194590,"journal":{"name":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Boa: analyzing ultra-large-scale code corpus\",\"authors\":\"Robert Dyer, H. Nguyen, Hridesh Rajan, T. Nguyen\",\"doi\":\"10.1145/2384716.2384752\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software repositories contain an enormous amount of information such as revisions and bugs. Analyzing this data requires knowledge in mining software repositories and a large amount of infrastructure. We present our infrastructure Boa to ease such analyses. Our results show writing analyses with our framework is simpler and executes faster.\",\"PeriodicalId\":194590,\"journal\":{\"name\":\"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2384716.2384752\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGPLAN International Conference on Systems, Programming, Languages and Applications: Software for Humanity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2384716.2384752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

软件存储库包含大量的信息,如修订和错误。分析这些数据需要挖掘软件存储库和大量基础设施方面的知识。我们提出了我们的基础设施Boa来简化这种分析。我们的结果表明,使用我们的框架编写分析更简单,执行速度更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Boa: analyzing ultra-large-scale code corpus
Software repositories contain an enormous amount of information such as revisions and bugs. Analyzing this data requires knowledge in mining software repositories and a large amount of infrastructure. We present our infrastructure Boa to ease such analyses. Our results show writing analyses with our framework is simpler and executes faster.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信