基于知识图谱的bug问题探索性搜索方法

Construct Knowledge Graph for Exploratory Bug Issue Searching

软件bug问题在软件开发与维护过程中不可避免.然而软件历史库中的bug库与commit库之间没有直接的对应关系,并且随着bug信息、commit提交信息量的增长,搜索bug变得更加繁琐.本文提出一种基于知识图谱对bug问题进行探索性搜索的方法.通过建立bug报告、commit提交信息及相关人员(如:bug报告人、commit提交者等)信息的bug知识图谱,并结合探索性搜索的思想,不仅能准确搜索bug问题,还能提供相关辅助信息对bug问题进行探索性搜索,帮助软件开发人员更有效地理解和解决bug问题.

Software bug issues are inevitable in software development and maintenance. However,there are no corresponding relationships between bugs and commits in software repository. Moreover,with the increasing amount of bug reports and commit information,bug search in the software repository becomes more difficult and costly. In this paper,we propose an exploratory search approach to search bug issues based on knowledge graph. By building the bug knowledge graph of bug reports,commits and related developers（ such as bug reporters,committers and so on） and combining with the idea of exploratory search,our approach can not only help software developers search bug issues accurately,but also provide the relevant information to explore bug issues,thus software developers can understand and resolve bug issues more effectively.