Article

Developer prioritization in bug repositories

Authors:

Weiqin ZouAuthors Info & Claims

ICSE '12: Proceedings of the 34th International Conference on Software Engineering

Pages 25 - 35

Published: 02 June 2012 Publication History

Abstract

Developers build all the software artifacts in development. Existing work has studied the social behavior in software repositories. In one of the most important software repositories, a bug repository, developers create and update bug reports to support software development and maintenance. However, no prior work has considered the priorities of developers in bug repositories. In this paper, we address the problem of the developer prioritization, which aims to rank the contributions of developers. We mainly explore two aspects, namely modeling the developer prioritization in a bug repository and assisting predictive tasks with our model. First, we model how to assign the priorities of developers based on a social network technique. Three problems are investigated, including the developer rankings in products, the evolution over time, and the tolerance of noisy comments. Second, we consider leveraging the developer prioritization to improve three predicted tasks in bug repositories, i.e., bug triage, severity identification, and reopened bug prediction. We empirically investigate the performance of our model and its applications in bug repositories of Eclipse and Mozilla. The results indicate that the developer prioritization can provide the knowledge of developer priorities to assist software tasks, especially the task of bug triage.

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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
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Aljedaani WNagappan MAdams BGodfrey MTilevich E(2019)A comparison of bugs across the iOS and Android platforms of two open source cross platform browser appsProceedings of the 6th International Conference on Mobile Software Engineering and Systems10.5555/3340730.3340748(76-86)Online publication date: 25-May-2019
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Published In

cover image ACM Conferences

ICSE '12: Proceedings of the 34th International Conference on Software Engineering

June 2012

1657 pages

ISBN:9781467310673

General Chair:
Martin Glinz,
Program Chairs:
Gail Murphy,
Mauro Pezzè

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SIGSOFT: ACM Special Interest Group on Software Engineering

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IEEE Press

Publication History

Published: 02 June 2012

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ICSE '12

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ICSE '12: 34th International Conference on Software Engineering

June 2 - 9, 2012

Zurich, Switzerland

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

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Cited By

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
Codabux ZDutchyn C(2020)Profiling Developers Through the Lens of Technical DebtProceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)10.1145/3382494.3422172(1-6)Online publication date: 5-Oct-2020
https://dl.acm.org/doi/10.1145/3382494.3422172
Aljedaani WNagappan MAdams BGodfrey MTilevich E(2019)A comparison of bugs across the iOS and Android platforms of two open source cross platform browser appsProceedings of the 6th International Conference on Mobile Software Engineering and Systems10.5555/3340730.3340748(76-86)Online publication date: 25-May-2019
https://dl.acm.org/doi/10.5555/3340730.3340748
Samer RFelfernig AStettinger M(2019)Towards Issue Recommendation for Open Source CommunitiesIEEE/WIC/ACM International Conference on Web Intelligence10.1145/3350546.3352514(164-171)Online publication date: 14-Oct-2019
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Mani SSankaran AAralikatte RDey LChaudhury SKrishnapuram RSingla PRoy R(2019)DeepTriageProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3297001.3297023(171-179)Online publication date: 3-Jan-2019
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Amar ARigby PAtlee JBultan TWhittle J(2019)Mining historical test logs to predict bugs and localize faults in the test logsProceedings of the 41st International Conference on Software Engineering10.1109/ICSE.2019.00031(140-151)Online publication date: 25-May-2019
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Noei EZhang FWang SZou Y(2019)Towards prioritizing user-related issue reports of mobile applicationsEmpirical Software Engineering10.1007/s10664-019-09684-y24:4(1964-1996)Online publication date: 1-Aug-2019
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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
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