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Published, Version of Record (VoR)Open Access via Drexel Libraries Read and Publish Program 2024CC BY V4.0, Open
Conference proceeding
Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp 515-519
15 Apr 2024
Featured in Collection : Research Supported by Drexel Libraries' OA Programs
Abstract
In the dynamic landscape of open source software (OSS) development, understanding and addressing incivility within issue discussions is crucial for fostering healthy and productive collaborations. This paper presents a curated dataset of 404 locked GitHub issue discussion threads and 5961 individual comments, collected from 213 OSS projects. We annotated the comments with various categories of incivility using Tone Bearing Discussion Features (TBDFs), and, for each issue thread, we annotated the triggers, targets, and consequences of incivility. We observed that Bitter frustration, Impatience, and Mocking are the most prevalent TBDFs exhibited in our dataset. The most common triggers, targets, and consequences of incivility include Failed use of tool/code or error messages, People, and Discontinued further discussion, respectively. This dataset can serve as a valuable resource for analyzing incivility in OSS and improving automated tools to detect and mitigate such behavior.CCS CONCEPTS*Software and its engineering → Software organization and properties.
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Details
- Title
- Incivility in Open Source Projects: A Comprehensive Annotated Dataset of Locked GitHub Issue Threads
- Creators
- Ramtin Ehsani - Drexel UniversityMia Mohammad Imran - Virginia Commonwealth UniversityRobert Zita - Elmhurst CollegeKostadin Damevski - Virginia Commonwealth UniversityPreetha Chatterjee (Corresponding Author) - Drexel University
- Publication Details
- 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), pp 515-519
- Conference
- 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR), 21st (Lisbon Portugal, 15 Apr 2024–16 Apr 2024)
- Series
- ACM Conferences
- Publisher
- Association for Computing Machinery
- Number of pages
- 5
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science; College of Computing and Informatics
- Web of Science ID
- WOS:001267321100069
- Scopus ID
- 2-s2.0-85197421040
- Other Identifier
- 9798400705878; 991021889588504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Computer Science, Theory & Methods