用于分析细粒度源代码更改模式的全面且可伸缩的方法

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER) Pub Date : 2015-03-02 DOI:10.1109/SANER.2015.7081845

M. Hashimoto, A. Mori, T. Izumida

{"title":"用于分析细粒度源代码更改模式的全面且可伸缩的方法","authors":"M. Hashimoto, A. Mori, T. Izumida","doi":"10.1109/SANER.2015.7081845","DOIUrl":null,"url":null,"abstract":"This paper presents a comprehensive method for identifying fine-grained change patterns in the source code of large-scale software projects. Source code changes are computed by differencing abstract syntax trees of adjacent versions and transferred to a set of logical statements called a factbase. A factbase contains information for tracking and relating source code entities across versions and can be used to integrate analysis results of other tools such as call graphs and control flows. Users can obtain a list of change pattern instances by querying the factbase. Experiments conducted on the Linux-2.6 kernel, which involve more than 4 billions of facts, are reported to demonstrate capability of the method.","PeriodicalId":355949,"journal":{"name":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A comprehensive and scalable method for analyzing fine-grained source code change patterns\",\"authors\":\"M. Hashimoto, A. Mori, T. Izumida\",\"doi\":\"10.1109/SANER.2015.7081845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a comprehensive method for identifying fine-grained change patterns in the source code of large-scale software projects. Source code changes are computed by differencing abstract syntax trees of adjacent versions and transferred to a set of logical statements called a factbase. A factbase contains information for tracking and relating source code entities across versions and can be used to integrate analysis results of other tools such as call graphs and control flows. Users can obtain a list of change pattern instances by querying the factbase. Experiments conducted on the Linux-2.6 kernel, which involve more than 4 billions of facts, are reported to demonstrate capability of the method.\",\"PeriodicalId\":355949,\"journal\":{\"name\":\"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SANER.2015.7081845\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SANER.2015.7081845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

摘要

本文提出了一种识别大型软件项目源代码中细粒度变化模式的综合方法。通过区分相邻版本的抽象语法树来计算源代码更改，并将其转移到一组称为factbase的逻辑语句中。factbase包含用于跟踪和跨版本关联源代码实体的信息，并可用于集成其他工具(如调用图和控制流)的分析结果。用户可以通过查询factbase获得变更模式实例的列表。据报道，在Linux-2.6内核上进行的涉及超过40亿个事实的实验证明了该方法的能力。

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

A comprehensive and scalable method for analyzing fine-grained source code change patterns

This paper presents a comprehensive method for identifying fine-grained change patterns in the source code of large-scale software projects. Source code changes are computed by differencing abstract syntax trees of adjacent versions and transferred to a set of logical statements called a factbase. A factbase contains information for tracking and relating source code entities across versions and can be used to integrate analysis results of other tools such as call graphs and control flows. Users can obtain a list of change pattern instances by querying the factbase. Experiments conducted on the Linux-2.6 kernel, which involve more than 4 billions of facts, are reported to demonstrate capability of the method.

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

2015 IEEE 22nd International Conference on Software Analysis, Evolution, and Reengineering (SANER)

自引率

0.00%

发文量