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| 面向Discord平台的开源软件实践者沟通实证研究 |
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王璐瑶1, 沈科迪1, 万志远1, DavidLO2, 刘宁3, 杨小虎1
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1.区块链与数据安全全国重点实验室(浙江大学), 浙江 杭州 310013;2.School of Computing and Information Systems, Singapore Management University, Singapore 188065, Singapore;3.香港城市大学 人文社会科学院, 香港 999077
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| 摘要: |
| Discord作为一种新兴的在线交流平台, 近年来在开源软件开发过程中被广泛采用. 现有研究针对Discord平台提出特定方法与技术, 以协助软件实践者在该平台高效检索信息、识别对话历史中的重复问题, 并构建消息数据集以挖掘有价值的信息. 然而, 针对开源软件实践者在Discord平台上的沟通行为, 尚缺乏系统性、全面性的实证研究. 深入理解此类沟通行为, 对于提升开源社区协作效率及开源软件开发过程中的问题解决具有重要意义. 围绕Discord平台上开源软件实践者的沟通开展大规模实证研究, 构建两个数据集: 数据集I来源于7个开源软件社区, 共包含616 443条消息; 数据集II基于数据集I, 经人工筛选验证, 包含17 289条高质量消息. 基于上述数据集, 从消息层面与对话层面两个维度, 系统地刻画了开源软件实践者的沟通特征, 包括参与度、互动模式及讨论主题, 并进一步分析其对对话响应时间与问题解决状态的影响. 最后, 结合研究发现, 总结了对在线交流平台设计的启示, 提出对开源社区管理的建议, 并指出未来可深入探索的研究方向. |
| 关键词: 软件实践者 开源软件社区 实时交流平台 |
| DOI：10.13328/j.cnki.jos.007586 |
| 分类号:TP311 |
| 基金项目:国家自然科学基金(62472383); 中央高校基本科研业务费专项资金(226-2025-00004); 区块链与数据安全全国重点实验室(浙江大学)开放课题 |
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| Empirical Study of Communication Among Open-source Software Practitioners on Discord |
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WANG Lu-Yao1, SHEN Ke-Di1, WAN Zhi-Yuan1, David LO2, LIU Ning3, YANG Xiao-Hu1
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1.State Key Laboratory of Blockchain and Data Security (Zhejiang University), Hangzhou 310013, China;2.School of Computing and Information Systems, Singapore Management University, Singapore 188065, Singapore;3.College of Liberal Arts and Social Sciences, City University of Hong Kong, Hong Kong 999077, China
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| Abstract: |
| As an emerging online communication platform, Discord has been widely adopted in the process of open-source software development in recent years. Existing research on Discord proposes specific methods and technologies to help software practitioners efficiently retrieve information, identify duplicate questions in conversation history, and build message datasets to mine valuable information. However, there is still a lack of systematic and comprehensive empirical research on the communication behavior of open-source software practitioners on Discord. The in-depth analysis of this kind of communication behavior is of significance for improving the collaboration efficiency of open-source communities and solving the problems in the process of open-source software development. This study conducts extensive empirical studies on the communication of open-source software practitioners on Discord, constructing two datasets. The first dataset contains 616443 messages from seven open-source software communities, and the second dataset is built on the first dataset via manual selection and validation, containing 17289 high-quality messages. Based on the two datasets, the communication characteristics of open-source software practitioners are systematically characterized from the message and conversation dimensions, including participation, interaction patterns, and discussion topics. Additionally, the influence of these communication characteristics on the response time of conversations and problem-solving status is evaluated. Finally, by combining the research findings, this study summarizes the insights for the design of online communication platforms, proposes recommendations for open-source community management, and points out future research directions for in-depth exploration. |
| Key words: software practitioner open-source software (OSS) community live communication platform |
