{"title":"Cobra - an interactive static code analyzer","authors":"G. Holzmann","doi":"10.1109/ASE.2017.8115610","DOIUrl":null,"url":null,"abstract":"Sadly we know that virtually all software of any significance has residual errors. Some of those errors can be traced back to requirements flaws or faulty design assumptions; others are just plain coding mistakes. Static analyzers have become quite good at spotting these types of errors, but they don’t scale very well. If, for instance, you need to check a code base of a few million lines you better be prepared to wait for the result; sometimes hours. Eyeballing a large code base to find flaws is clearly not an option, so what is missing is a static analysis capability that can be used to answer common types of queries interactively, even for large code bases. I will describe the design and use of such a tool in this talk.","PeriodicalId":90522,"journal":{"name":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/ACM International Conference on Automated Software Engineering workshops. IEEE/ACM International Conference on Automated Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASE.2017.8115610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Sadly we know that virtually all software of any significance has residual errors. Some of those errors can be traced back to requirements flaws or faulty design assumptions; others are just plain coding mistakes. Static analyzers have become quite good at spotting these types of errors, but they don’t scale very well. If, for instance, you need to check a code base of a few million lines you better be prepared to wait for the result; sometimes hours. Eyeballing a large code base to find flaws is clearly not an option, so what is missing is a static analysis capability that can be used to answer common types of queries interactively, even for large code bases. I will describe the design and use of such a tool in this talk.
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Cobra -一个交互式静态代码分析器
可悲的是,我们知道几乎所有重要的软件都有残余错误。其中一些错误可以追溯到需求缺陷或错误的设计假设;还有一些只是简单的编码错误。静态分析器已经非常擅长发现这些类型的错误,但是它们不能很好地扩展。例如,如果你需要检查一个几百万行的代码库,你最好准备好等待结果;有时几个小时。通过观察大型代码库来发现缺陷显然不是一种选择,因此缺少的是静态分析功能,该功能可用于交互式地回答常见类型的查询,甚至对于大型代码库也是如此。我将在这次演讲中描述这样一个工具的设计和使用。
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