A first look at developers' live chat on Gitter
Lin Shi, Xiao Chen, Ye Yang, Hanzhi Jiang, Ziyou Jiang, Nan Niu, Qing Wang
Abstract
Modern communication platforms such as Gitter and Slack play an increasingly critical role in supporting software teamwork, especially in open source development. Conversations on such platforms often contain intensive, valuable information that may be used for better understanding OSS developer communication and collaboration. However, little work has been done in this regard. To bridge the gap, this paper reports a first comprehensive empirical study on developers' live chat, investigating when they interact, what community structures look like, which topics are discussed, and how they interact. We manually analyze 749 dialogs in the first phase, followed by an automated analysis of over 173K dialogs in the second phase. We find that developers tend to converse more often on weekdays, especially on Wednesdays and Thursdays (UTC), that there are three common community structures observed, that developers tend to discuss topics such as API usages and errors, and that six dialog interaction patterns are identified in the live chat communities. Based on the findings, we provide recommendations for individual developers and OSS communities, highlight desired features for platform vendors, and shed light on future research directions. We believe that the findings and insights will enable a better understanding of developers' live chat, pave the way for other researchers, as well as a better utilization and mining of knowledge embedded in the massive chat history.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b67b7baf-62ce-4c52-baf6-18d10ce6115cCited by top-tier papers5
- "Did You Miss My Comment or What?" Understanding Toxicity in Open Source DiscussionsCourtney Miller, Sophie Cohen, Daniel Klug, Bogdan Vasilescu et al.ICSE 2022 · 54 citations
- Meeting Bridges: Designing Information Artifacts that Bridge from Synchronous Meetings to Asynchronous CollaborationRuotong Wang, Lin Qiu, Justin Cranshaw, Amy X. ZhangCSCW 2024 · 17 citations
- ISPY: Automatic Issue-Solution Pair Extraction from Community Live ChatsLin Shi, Ziyou Jiang, Ye Yang, Xiao Chen et al.ASE 2021 · 12 citations
- BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live ChatsLin Shi, Fangwen Mu, Yumin Zhang, Ye Yang et al.ICSE 2022 · 6 citations
- Enhancing Automated Program Repair with Solution DesignJiuang Zhao, Donghao Yang, Li Zhang, Xiaoli Lian et al.ASE 2024 · 3 citations
Builds on3
- A first look at good first issues on GitHubXin Tan, Minghui Zhou, Zeyu SunFSE 2020 · 62 citations
- How do companies collaborate in open source ecosystems?: an empirical study of OpenStackYuxia Zhang, Minghui Zhou, Klaas-Jan Stol, Jianyu Wu et al.ICSE 2020 · 34 citations
- Detection of hidden feature requests from massive chat messages via deep siamese networkLin Shi, Mingzhe Xing, Mingyang Li, Yawen Wang et al.ICSE 2020 · 31 citations
Related papers
- Automating Developer Chat MiningShengyi Pan, Lingfeng Bao, Xiaoxue Ren, Xin Xia et al.ASE 2021 · 17 citations
- On the Helpfulness of Answering Developer Questions on Discord with Similar Conversations and Posts from the PastAlexander Lill, André N. Meyer, Thomas FritzICSE 2024 · 5 citations
- Characterizing Usability Issue Discussions in Open Source Software ProjectsArghavan Sanei, Jinghui ChengCSCW 2024 · 5 citations
- Characterizing Developers' Linguistic Behaviors in Open Source Development across Their Social StatusesYisi Han, Zhendong Wang, Yang Feng, Zhihong Zhao et al.CSCW 2024 · 3 citations
- Twitch Third-Party Developers’ Support Seeking and Provision Practices on DiscordJie Cai, He Zhang, Yueyan Liu, John M. Carroll et al.CSCW 2026
