Article

Effective Bug Triage Based on Historical Bug-Fix Information

Authors:

Hao Hu,

Hongyu Zhang,

Jifeng Xuan,

Weigang SunAuthors Info & Claims

ISSRE '14: Proceedings of the 2014 IEEE 25th International Symposium on Software Reliability Engineering

Pages 122 - 132

https://doi.org/10.1109/ISSRE.2014.17

Published: 03 November 2014 Publication History

Abstract

For complex and popular software, project teams could receive a large number of bug reports. It is often tedious and costly to manually assign these bug reports to developers who have the expertise to fix the bugs. Many bug triage techniques have been proposed to automate this process. In this paper, we describe our study on applying conventional bug triage techniques to projects of different sizes. We find that the effectiveness of a bug triage technique largely depends on the size of a project team (measured in terms of the number of developers). The conventional bug triage methods become less effective when the number of developers increases. To further improve the effectiveness of bug triage for large projects, we propose a novel recommendation method called Bug Fixer, which recommends developers for a new bug report based on historical bug-fix information. Bug Fixer constructs a Developer-Component-Bug (DCB) network, which models the relationship between developers and source code components, as well as the relationship between the components and their associated bugs. A DCB network captures the knowledge of "who fixed what, where". For a new bug report, Bug Fixer uses a DCB network to recommend to triager a list of suitable developers who could fix this bug. We evaluate Bug Fixer on three large-scale open source projects and two smaller industrial projects. The experimental results show that the proposed method outperforms the existing methods for large projects and achieves comparable performance for small projects.

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Zhong LXiang CHuang HShen BMugnier EZhou Y(2024)Effective Bug Detection with Unused DefinitionsProceedings of the Nineteenth European Conference on Computer Systems10.1145/3627703.3629576(720-735)Online publication date: 22-Apr-2024
https://dl.acm.org/doi/10.1145/3627703.3629576
da Silva AVieira RMesquita DGomes JRocha L(2024)Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache HadoopEmpirical Software Engineering10.1007/s10664-024-10494-029:4Online publication date: 5-Jun-2024
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Dai JLi QXie SLi DChu H(2024)PCGJournal of Software: Evolution and Process10.1002/smr.267336:9Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1002/smr.2673
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Effective Bug Triage Based on Historical Bug-Fix Information
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis

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Published In

ISSRE '14: Proceedings of the 2014 IEEE 25th International Symposium on Software Reliability Engineering

November 2014

347 pages

ISBN:9781479960330

Publisher

IEEE Computer Society

United States

Publication History

Published: 03 November 2014

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Zhong LXiang CHuang HShen BMugnier EZhou Y(2024)Effective Bug Detection with Unused DefinitionsProceedings of the Nineteenth European Conference on Computer Systems10.1145/3627703.3629576(720-735)Online publication date: 22-Apr-2024
https://dl.acm.org/doi/10.1145/3627703.3629576
da Silva AVieira RMesquita DGomes JRocha L(2024)Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache HadoopEmpirical Software Engineering10.1007/s10664-024-10494-029:4Online publication date: 5-Jun-2024
https://dl.acm.org/doi/10.1007/s10664-024-10494-0
Dai JLi QXie SLi DChu H(2024)PCGJournal of Software: Evolution and Process10.1002/smr.267336:9Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1002/smr.2673
Maulik RDatta SMajumder S(2022)Litmus Test for Linus’ Law: A Structural Equation Modeling Based ApproachProceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering10.1145/3530019.3534080(237-242)Online publication date: 13-Jun-2022
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Tecimer KTüzün EMoran CErdogmus H(2022)Cleaning ground truth data in software task assignmentInformation and Software Technology10.1016/j.infsof.2022.106956149:COnline publication date: 1-Sep-2022
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Su YXing ZPeng XXia XWang CXu XZhu LGrundy J(2021)Reducing bug triaging confusion by learning from mistakes with a bug tossing knowledge graphProceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE51524.2021.9678574(191-202)Online publication date: 15-Nov-2021
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Hammad MHijazi HHammad MOtoom A(2020)Mining expertise of developers from software repositoriesInternational Journal of Computer Applications in Technology10.1504/ijcat.2020.10658162:3(227-239)Online publication date: 1-Jan-2020
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Chen JHe XLin QXu YZhang HHao DGao FXu ZDang YZhang DSharp HWhalen M(2019)An empirical investigation of incident triage for online service systemsProceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice10.1109/ICSE-SEIP.2019.00020(111-120)Online publication date: 27-May-2019
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