JDF: Detecting duplicate bug reports in Jazz

Yoonki Song, Xiaoyin Wang, Tao Xie, Lu Zhang, Hong Mei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Both developers and users submit bug reports to a bug repository. These reports can help reveal defects and improve software quality. As the number of bug reports in a bug repository increases, the number of the potential duplicate bug reports increases. Detecting duplicate bug reports helps reduce development efforts in fixing defects. However, it is challenging to manually detect all potential duplicates because of the large number of existing bug reports. This paper presents JDF (representing Jazz Duplicate Finder), a tool that helps users to find potential duplicates of bug reports on Jazz, which is a team collaboration platform for software development and process management. JDF finds potential duplicates for a given bug report using natural language and execution information.

Original languageEnglish (US)
Title of host publicationICSE 2010 - Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering
Pages315-316
Number of pages2
Volume2
DOIs
StatePublished - 2010
Externally publishedYes
Event32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010 - Cape Town, South Africa
Duration: May 1 2010May 8 2010

Other

Other32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010
CountrySouth Africa
CityCape Town
Period5/1/105/8/10

Keywords

  • bug report
  • execution information
  • information retrieval

ASJC Scopus subject areas

  • Software

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