计算机科学

计算机科学 ›› 2021, Vol. 48 ›› Issue (12): 140-148.doi: 10.11896/jsjkx.201100209

• 计算机软件 • 上一篇    下一篇

面向缺陷定位的代码搜索引擎

常建明1,2,3, 薄莉莉1,2,4, 孙小兵1,2,4   

  1. 1 扬州大学信息工程学院 江苏 扬州225127
    2 江苏省知识管理与智能服务工程研究中心 江苏 扬州225127
    3 东南大学软件学院 南京211189
    4 计算机软件新技术国家重点实验室(南京大学) 南京210023
  • 收稿日期:2020-11-29 修回日期:2021-04-09 出版日期:2021-12-15 发布日期:2021-11-26
  • 通讯作者: 薄莉莉(lilibo@yzu.edu.cn)
  • 作者简介:carrycrebrith@163.com
  • 基金资助:
    国家自然科学基金(61872312,61972335,62002309);南京大学计算机软件新技术国家重点实验室资助项目(KFKT2020B15,KFKT2020B16);扬州市校合作项目(YZU201803);扬州大学“高端人才支持计划”(2019);江苏省“六大人才高峰”高层次人才项目(RJFW-053);江苏省“333”工程;扬州大学畜牧学学科特区学科交叉课题支持项目(yzuxk202015)

Code Search Engine for Bug Localization

CHANG Jian-ming1,2,3, BO Li-li1,2,4, SUN Xiao-bing1,2,4   

  1. 1 School of Information Engineering,Yangzhou University,Yangzhou,Jiangsu 225127,China
    2 Jiangsu Engineering Research Center Knowledge Management and Intelligent Service,Yangzhou,Jiangsu 225127,China
    3 School of Software,Southeast University,Nanjing 211189,China
    4 State Key Lab. for Novel Software Technology,Nanjing University,Nanjing 210023,China
  • Received:2020-11-29 Revised:2021-04-09 Online:2021-12-15 Published:2021-11-26
  • About author:CHANG Jian-ming,born in 1998,postgraduate.His main research interests include bug localization and so on.
    BO Li-li,born in 1989,Ph.D,lecturer.Her main research interests include software testing,software security,etc.
  • Supported by:
    National Natural Science Foundation of China(61872312,61972335,62002309),Open Funds of State Key Laboratory for Novel Software Technology of Nanjing University(KFKT2020B15,KFKT2020B16),Yangzhou City-Yangzhou University Science and Technology Cooperation Fund Project(YZU201803),Yangzhou University Top-level Talents Support Program(2019),Six Talent Peaks Project in Jiangsu Province(RJFW-053) and Jiangsu “333” Project and Yangzhou University Cross-disciplinary Project of Animal Science(yzuxk202015).

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摘要： 随着软件项目规模的扩大以及软件复杂性的增加,缺陷修复的难度越来越大。其中,绝大多数缺陷问题都是由代码的错误编写导致的,在软件缺陷修复过程中开发维护人员需要花费大量的时间定位并修改缺陷代码。针对这个问题,对缺陷报告以及对应的项目变更信息进行整合,根据代码抽象语法树结构信息计算代码块与缺陷报告之间的关系,从而构建缺陷-代码知识库。在此知识库的基础上构建面向缺陷定位的代码搜索引擎,以向用户推荐更全面的缺陷定位信息,包括相似缺陷报告、相关缺陷代码文件以及缺陷代码块,从而帮助开发和维护人员及时有效地定位缺陷。实验结果说明,相比现有的缺陷定位方法,所提方法能够更准确地定位缺陷代码文件,并且可有效定位到代码粒度。

关键词: 抽象语法树, 代码搜索, 缺陷报告, 缺陷定位

Abstract: With the evolution and the increased complexity of software project,bug fixing is getting more difficult.During the bug fixing,developers need to spend a lot of time on bug localization and fixing.To evaluate this problem,this paper builds a bug-code database by integrating the bug reports and the corresponding evolution information,and analyzing the relationship between the code block and the bug report.Then,a code search engine is constructed for bug localization based on the bug-code database,which is used for recommending more comprehensive information about similar bug reports,bug related code files,and code blocks.The experiment results show that the proposed approach is more accurate to localize buggy files,and the localization can effectively reach code level.

Key words: Abstract syntax tree, Bug localization, Bug report, Code search

中图分类号: 

  • TP311
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