Static Analysis at GitHub

Q3 Computer Science Queue Pub Date : 2021-08-31 DOI:10.1145/3487019.3487022
Timothy Clem, Patrick Thomson
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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.
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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。
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来源期刊
Queue
Queue Computer Science-Computer Science (all)
CiteScore
1.80
自引率
0.00%
发文量
23
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