On the Effectiveness of Labeled Latent Dirichlet Allocation in Automatic Bug-Report Categorization

被引：9
|
作者：
Zibran, Minhaz F. [1 ]
机构：
[1] Univ New Orleans, 2000 Lakeshore Dr, New Orleans, LA 70148 USA
来源：
2016 IEEE/ACM 38TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING COMPANION (ICSE-C) | 2016年
关键词：
bug-report; automatic categorization; topic modelling; LLDA;
D O I：
10.1145/2889160.2892646
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Bug-reports are valuable sources of information. However, study of the bug-reports' content written in natural language demands tedious human efforts for manual interpretation. This difficulty limits the scale of empirical studies, which rely on interpretation and categorization of bug-reports. In this work, we investigate the effectiveness of Labeled Latent Dirichlet Allocation (LLDA) in automatic classification of bug-reports into a predefined set of categories.
引用
收藏
页码：713 / 715
页数：3
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