Code Search Engine for Bug Localization

Autor: CHANG Jian-ming, BO Li-li, SUN Xiao-bing
Jazyk: čínština
Rok vydání: 2021
Předmět:
Zdroj: Jisuanji kexue, Vol 48, Iss 12, Pp 140-148 (2021)
Druh dokumentu: article
ISSN: 1002-137X
DOI: 10.11896/jsjkx.201100209
Popis: 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.
Databáze: Directory of Open Access Journals