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  • 标题:Automation Framework for Bug Localization using Information Retrieval Techniques
  • 本地全文:下载
  • 作者:Dhanashree P. Pathak ; Srinu Dharavath
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:6
  • DOI:10.15680/ijircce.2015.0306124
  • 出版社:S&S Publications
  • 摘要:Bug Localization is the technique to find the relevant source code entities from a bug report in order tofix that issue. Till date most of bug localization work in industry, at least in the small scale software companies, is donemanually. It is a very time consuming activity as it adds on manual efforts to locate the relevant source code. It leads totaking long time to fix the bug which evidently leads to more cost for maintenance. To somewhat lessen this cost oneway is to automate the bug localization process in order to somewhat control the time and effort parameters. Thisstrategy has its own limitations but still can show some positivity if we apply information retrieval techniques andconsider bug localization as classification problem. This approach will open doors for more research in this area. Thispaper has suggested some IR techniques as Relational Topic models, Link Importance in Relational Topic Model toachieve the bug localization.
  • 关键词:Bug Localization; Relational Topic Models; software maintenance cost; software engineering; Link;importance; Topic Modeling
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