JDF: detecting duplicate bug reports in Jazz

Authors:
Yoonki Song;Xiaoyin Wang;Tao Xie;Lu Zhang;Hong Mei
Affiliations:
North Carolina State University, Raleigh, NC;School of Electronics Engineering and Computer Science and Peking University, Beijing, China;North Carolina State University, Raleigh, NC;School of Electronics Engineering and Computer Science and Peking University, Beijing, China;School of Electronics Engineering and Computer Science and Peking University, Beijing, China
Venue:
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2
Year:
2010

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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.