Leveraging textual properties of bug reports to localize relevant source files

作者：

Highlights：

• A multi-component bug localization approach that leverages different textual properties of bug reports and source files.

• The approach utilizes information retrieval, textual matching, stack trace analysis, and multi-label classification.

• It is applied to real-world software projects and achieved good performance.

• It Improves the MRR and MAP metrics compared to several existing state-of-the-art approaches.

摘要

•A multi-component bug localization approach that leverages different textual properties of bug reports and source files.•The approach utilizes information retrieval, textual matching, stack trace analysis, and multi-label classification.•It is applied to real-world software projects and achieved good performance.•It Improves the MRR and MAP metrics compared to several existing state-of-the-art approaches.

论文关键词：Bug localization,Bug report,Classification,Information retrieval,Textual analysis

论文评审过程：Received 9 February 2018, Revised 14 July 2018, Accepted 15 July 2018, Available online 31 July 2018, Version of Record 31 July 2018.

论文官网地址：https://doi.org/10.1016/j.ipm.2018.07.004