JDF: detecting duplicate bug reports in Jazz

Author

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

Author_Institution

Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA

Volume

2

fYear

2010

fDate

2-8 May 2010

Firstpage

315

Lastpage

316

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.

Keywords

groupware; natural language processing; software development management; software quality; team working; JDF; bug reports; bug repository; execution information; natural language; process management; software development; software quality; team collaboration; Calculators; Computer architecture; Educational institutions; Measurement; Natural languages; Servers; Software; bug report; execution information; information retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, 2010 ACM/IEEE 32nd International Conference on

Conference_Location

Cape Town

ISSN

0270-5257

Print_ISBN

978-1-60558-719-6

Type

conf

DOI

10.1145/1810295.1810368

Filename

6062192