Article

Assigning bug reports using a vocabulary-based expertise model of developers

Authors:

Dominique Matter,

Adrian Kuhn,

Oscar NierstraszAuthors Info & Claims

MSR '09: Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories

Pages 131 - 140

https://doi.org/10.1109/MSR.2009.5069491

Published: 16 May 2009 Publication History

Publisher Site

Abstract

For popular software systems, the number of daily submitted bug reports is high. Triaging these incoming reports is a time consuming task. Part of the bug triage is the assignment of a report to a developer with the appropriate expertise. In this paper, we present an approach to automatically suggest developers who have the appropriate expertise for handling a bug report. We model developer expertise using the vocabulary found in their source code contributions and compare this vocabulary to the vocabulary of bug reports. We evaluate our approach by comparing the suggested experts to the persons who eventually worked on the bug. Using eight years of Eclipse development as a case study, we achieve 33.6% top-1 precision and 71.0% top-10 recall.

Cited By

View all

Menzen JOliveira K(2023)4Experts: A Task Recommendation Approach Using Machine Learning and Biometric DataProceedings of the XIX Brazilian Symposium on Information Systems10.1145/3592813.3592882(1-8)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3592813.3592882
Wang JYang YWang SHu JWang Q(2022)Context- and Fairness-Aware In-Process Crowdworker RecommendationACM Transactions on Software Engineering and Methodology10.1145/348757131:3(1-31)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.1145/3487571
Mohsin HShi CHao SJiang H(2022)SPANKnowledge-Based Systems10.1016/j.knosys.2021.107711236:COnline publication date: 25-Jan-2022
https://dl.acm.org/doi/10.1016/j.knosys.2021.107711
Show More Cited By

Assigning bug reports using a vocabulary-based expertise model of developers
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis

Recommendations

Towards Semi-automatic Bug Triage and Severity Prediction Based on Topic Model and Multi-feature of Bug Reports
COMPSAC '14: Proceedings of the 2014 IEEE 38th Annual Computer Software and Applications Conference

Bug fixing is an essential activity in the software maintenance, because most of the software systems have unavoidable defects. When new bugs are submitted, triagers have to find and assign appropriate developers to fix the bugs. However, if the bugs are ...
Works for me! characterizing non-reproducible bug reports
MSR 2014: Proceedings of the 11th Working Conference on Mining Software Repositories

Bug repository systems have become an integral component of software development activities. Ideally, each bug report should help developers to find and fix a software fault. However, there is a subset of reported bugs that is not (easily) reproducible,...
Effective Bug Triage Based on Historical Bug-Fix Information
ISSRE '14: Proceedings of the 2014 IEEE 25th International Symposium on Software Reliability Engineering

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 ...

Comments

Information & Contributors

Information

Published In

MSR '09: Proceedings of the 2009 6th IEEE International Working Conference on Mining Software Repositories

May 2009

212 pages

ISBN:9781424434930

Publisher

IEEE Computer Society

United States

Publication History

Published: 16 May 2009

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

48
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 12 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Menzen JOliveira K(2023)4Experts: A Task Recommendation Approach Using Machine Learning and Biometric DataProceedings of the XIX Brazilian Symposium on Information Systems10.1145/3592813.3592882(1-8)Online publication date: 29-May-2023
https://dl.acm.org/doi/10.1145/3592813.3592882
Wang JYang YWang SHu JWang Q(2022)Context- and Fairness-Aware In-Process Crowdworker RecommendationACM Transactions on Software Engineering and Methodology10.1145/348757131:3(1-31)Online publication date: 7-Mar-2022
https://dl.acm.org/doi/10.1145/3487571
Mohsin HShi CHao SJiang H(2022)SPANKnowledge-Based Systems10.1016/j.knosys.2021.107711236:COnline publication date: 25-Jan-2022
https://dl.acm.org/doi/10.1016/j.knosys.2021.107711
Shafigh SBenatallah BRodríguez CAl-Banna MLanubile F(2021)Why Some Bug-bounty Vulnerability Reports are Invalid?Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)10.1145/3475716.3484193(1-6)Online publication date: 11-Oct-2021
https://dl.acm.org/doi/10.1145/3475716.3484193
Wang YLi GWang ZKang YZhou YZhang HGao FSun JYang LLee PXu ZZhao PQiao BLi LZhang XLin Q(2021)Fast Outage Analysis of Large-scale Production Clouds with Service Correlation MiningProceedings of the 43rd International Conference on Software Engineering10.1109/ICSE43902.2021.00085(885-896)Online publication date: 22-May-2021
https://dl.acm.org/doi/10.1109/ICSE43902.2021.00085
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
https://dl.acm.org/doi/10.1504/ijcat.2020.106581
Wang JYang YWang SHu YWang DWang QRothermel GBae D(2020)Context-aware in-process crowdworker recommendationProceedings of the ACM/IEEE 42nd International Conference on Software Engineering10.1145/3377811.3380380(1535-1546)Online publication date: 27-Jun-2020
https://dl.acm.org/doi/10.1145/3377811.3380380
Tu FZhu JZheng QZhou MLeavens GGarcia APăsăreanu C(2018)Be careful of when: an empirical study on time-related misuse of issue tracking dataProceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3236024.3236054(307-318)Online publication date: 26-Oct-2018
https://dl.acm.org/doi/10.1145/3236024.3236054
Dintzner NDeursen APinzger M(2018)FEVEREmpirical Software Engineering10.1007/s10664-017-9557-623:2(905-952)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1007/s10664-017-9557-6
Xia XLo DDing YAl-Kofahi JNguyen TWang X(2017)Improving Automated Bug Triaging with Specialized Topic ModelIEEE Transactions on Software Engineering10.1109/TSE.2016.257645443:3(272-297)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1109/TSE.2016.2576454
Show More Cited By

Abstract

Cited By

Recommendations

Towards Semi-automatic Bug Triage and Severity Prediction Based on Topic Model and Multi-feature of Bug Reports

Works for me! characterizing non-reproducible bug reports

Effective Bug Triage Based on Historical Bug-Fix Information

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Share

Share this Publication link

Share on social media

Affiliations