Static Analysis at GitHub

Q3 Computer Science
Queue Pub Date : 2021-08-31 DOI:10.1145/3487019.3487022
Timothy Clem, Patrick Thomson
{"title":"Static Analysis at GitHub","authors":"Timothy Clem, Patrick Thomson","doi":"10.1145/3487019.3487022","DOIUrl":null,"url":null,"abstract":"The Semantic Code team at GitHub builds and operates a suite of technologies that power symbolic code navigation on github.com. We learned that scale is about adoption, user behavior, incremental improvement, and utility. Static analysis in particular is difficult to scale with respect to human behavior; we often think of complex analysis tools working to find potentially problematic patterns in code and then trying to convince the humans to fix them. Our approach took a different tack: use basic analysis techniques to quickly put information that augments our ability to understand programs in front of everyone reading code on GitHub with zero configuration required and almost immediate availability after code changes.","PeriodicalId":39042,"journal":{"name":"Queue","volume":"19 1","pages":"42 - 67"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Queue","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3487019.3487022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 4

Abstract

The Semantic Code team at GitHub builds and operates a suite of technologies that power symbolic code navigation on github.com. We learned that scale is about adoption, user behavior, incremental improvement, and utility. Static analysis in particular is difficult to scale with respect to human behavior; we often think of complex analysis tools working to find potentially problematic patterns in code and then trying to convince the humans to fix them. Our approach took a different tack: use basic analysis techniques to quickly put information that augments our ability to understand programs in front of everyone reading code on GitHub with zero configuration required and almost immediate availability after code changes.
静态分析在GitHub
GitHub的语义代码团队构建并运行了一套技术,为github.com上的符号代码导航提供了动力。我们了解到规模与采用、用户行为、增量改进和效用有关。静态分析尤其难以根据人类行为进行扩展;我们经常认为复杂的分析工具的工作是发现代码中潜在的问题模式,然后试图说服人们修复它们。我们的方法采取了不同的策略:使用基本的分析技术来快速地将增强我们理解程序的能力的信息放在GitHub上阅读代码的每个人面前,无需配置,并且在代码更改后几乎立即可用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Queue
Queue Computer Science-Computer Science (all)
CiteScore
1.80
自引率
0.00%
发文量
23
×
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