Mining Software Repositories Using Topic Models

被引：0
|
作者：
Thomas, Stephen W. [1 ]
机构：
[1] Queens Univ, SAIL, Sch Comp, Kingston, ON, Canada
来源：
2011 33RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE) | 2011年
关键词：
Topic models; mining software repositories; LDA;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Software repositories, such as source code, email archives, and bug databases, contain unstructured and unlabeled text that is difficult to analyze with traditional techniques. We propose the use of statistical topic models to automatically discover structure in these textual repositories. This discovered structure has the potential to be used in software engineering tasks, such as bug prediction and traceability link recovery. Our research goal is to address the challenges of applying topic models to software repositories.
引用
收藏
页码：1138 / 1139
页数：2
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