Developer Prioritization in Bug Repositories
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Apr 2017.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 0; 2025: 2.
7 papers.
- 2021AI Techniques for Software Requirements Prioritizationcited by 3
- 2025Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Reviewcited by 3
- 2023A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug Triagingcited by 2
- 2021Towards Utility-based Prioritization of Requirements in Open Source Environmentscited by 1
- 2022DapStep: Deep Assignee Prediction for Stack Trace Error rePresentationcited by 0
- 2022Beyond Duplicates: Towards Understanding and Predicting Link Types in Issue Tracking Systemscited by 0
- 2025TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankingscited by 0
- 2025TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings23 Aug 2025
- 2025Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review10 Mar 2025
- 2023A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug Triaging10 Oct 2023
- 2022Beyond Duplicates: Towards Understanding and Predicting Link Types in Issue Tracking Systems27 Apr 2022
- 2022DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation14 Jan 2022
- 2021AI Techniques for Software Requirements Prioritization2 Aug 2021
- 2021Towards Utility-based Prioritization of Requirements in Open Source Environments17 Feb 2021