Influence of Structured Information in Bug Report Descriptions on IR-based Bug Localization

被引：4
|
作者：
Rath, Michael [1 ,2 ]
Maeder, Patrick [2 ]
机构：
[1] DLR Inst Data Sci, Jena, Germany
[2] Tech Univ Ilmenau, Ilmenau, Germany
来源：
44TH EUROMICRO CONFERENCE ON SOFTWARE ENGINEERING AND ADVANCED APPLICATIONS (SEAA 2018) | 2018年
关键词：
Bug Report Structure; Bug Localization; Information Retrieval;
D O I：
10.1109/SEAA.2018.00014
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Over the years, researcher proposed multiple information retrieval (IR) based bug localization techniques. The foundation of the approaches relies on textual similarity of the bug report description and the source code files. The basic assumption is that these descriptions are well suited to query the code base. However, often bug reports contain structured information such as stack traces and source code next to natural language, which might interfere with the initial belief. In this paper, we systematically analyze the influence of structured information on IR-based techniques. Therefore a study on 7,334 bug reports, out of which more than 30% contain structured information, was conducted. Our results show, that stack traces tend to negatively affect IR-based bug localization performance and require special handling.
引用
收藏
页码：26 / 32
页数：7
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