research-article

JDF: detecting duplicate bug reports in Jazz

Authors:

Yoonki Song,

Xiaoyin Wang,

Tao Xie,

Lu Zhang,

Hong MeiAuthors Info & Claims

ICSE '10: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2

Pages 315 - 316

https://doi.org/10.1145/1810295.1810368

Published: 01 May 2010 Publication History

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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.

References

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Jazz. http://jazz.net.

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P. Runeson, M. Alexandersson, and O. Nyholm. Detection of Duplicate Defect Reports Using Natural Language Processing. In Proc. ICSE, pages 499--510, 2007.

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X. Wang, L. Zhang, T. Xie, J. Anvik, and J. Sun. An Approach to Detecting Duplicate Bug Reports Using Natural Language and Execution Information. In Proc. ICSE, pages 461--470, 2008.

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Jiang HLi YGuo SLi XZhang TLi HChen R(2023)DupHunter: Detecting Duplicate Pull Requests in Fork-Based DevelopmentIEEE Transactions on Software Engineering10.1109/TSE.2023.323594249:4(2920-2940)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TSE.2023.3235942
Nusrat FHassan FZhong HWang X(2021)How Developers Optimize Virtual Reality ApplicationsProceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00052(473-485)Online publication date: 22-May-2021
https://dl.acm.org/doi/10.1109/ICSE43902.2021.00052
Rodriguez RWang X(2021)Understanding Execution Environment of File-Manipulation Scripts by Extracting Pre-Conditions2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC)10.1109/ICPC52881.2021.00048(406-410)Online publication date: May-2021
https://doi.org/10.1109/ICPC52881.2021.00048
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Index Terms

JDF: detecting duplicate bug reports in Jazz
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Software management
        Software maintenance
2. Software and its engineering
  1. Software creation and management
    1. Software post-development issues

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Published In

ICSE '10: Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 2

May 2010

554 pages

ISBN:9781605587196

DOI:10.1145/1810295

General Chairs:
Jeff Kramer
Imperial College, London, UK
,
Judith Bishop
Microsoft Research, Redmond
,
Program Chairs:
Prem Devanbu
University of California at Davis
,
Sebastian Uchitel
University of Buenos Aires, Argentina and Imperial College London, UK

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 May 2010

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ICSE '10: 32nd International Conference on Software Engineering

May 1 - 8, 2010

Cape Town, South Africa

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Overall Acceptance Rate 276 of 1,856 submissions, 15%

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Jiang HLi YGuo SLi XZhang TLi HChen R(2023)DupHunter: Detecting Duplicate Pull Requests in Fork-Based DevelopmentIEEE Transactions on Software Engineering10.1109/TSE.2023.323594249:4(2920-2940)Online publication date: 1-Apr-2023
https://doi.org/10.1109/TSE.2023.3235942
Nusrat FHassan FZhong HWang X(2021)How Developers Optimize Virtual Reality ApplicationsProceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00052(473-485)Online publication date: 22-May-2021
https://dl.acm.org/doi/10.1109/ICSE43902.2021.00052
Rodriguez RWang X(2021)Understanding Execution Environment of File-Manipulation Scripts by Extracting Pre-Conditions2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC)10.1109/ICPC52881.2021.00048(406-410)Online publication date: May-2021
https://doi.org/10.1109/ICPC52881.2021.00048
Molina JQin XWang X(2021)Automatic Extraction of Code Dependency in Virtual Reality Software2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC)10.1109/ICPC52881.2021.00043(381-385)Online publication date: May-2021
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Bansal KRohil H(2021)Literature Review of Finding Duplicate Bugs in Open Source Systems2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)10.1109/CCICT53244.2021.00077(389-396)Online publication date: Jul-2021
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Mostafa SWang X(2021)An Exploration Study On the Dependency Among Vulnerabilities and Bugs2021 28th Asia-Pacific Software Engineering Conference (APSEC)10.1109/APSEC53868.2021.00074(574-575)Online publication date: Dec-2021
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Huang SChen HHui ZLiu Y(2020)A Survey of the Use of Test Report in Crowdsourced Testing2020 IEEE 20th International Conference on Software Quality, Reliability and Security (QRS)10.1109/QRS51102.2020.00062(430-441)Online publication date: Dec-2020
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Wang QXu BXia XWang TLi S(2019)Duplicate Pull Request DetectionProceedings of the 11th Asia-Pacific Symposium on Internetware10.1145/3361242.3361254(1-10)Online publication date: 28-Oct-2019
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Ren LZhou SKastner CWasowski A(2019)Identifying Redundancies in Fork-based Development2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER)10.1109/SANER.2019.8668023(230-241)Online publication date: Feb-2019
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An approach to detecting duplicate bug reports using natural language and execution information

Not all bug reopens are negative: A case study on eclipse bug reports

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