情绪在投稿者活动中的作用--以GENTOO社区为例
The Role of Emotions in Contributors Activity: A Case Study on the GENTOO Community
摘要：
我们分析了开源软件项目Gentoo中贡献者的情绪和活动之间的关系。我们的案例研究建立在项目的错误跟踪平台Bugzilla的大量数据集之上，以量化贡献者的活动，以及其邮件档案，通过情感分析量化贡献者的情感。Gentoo项目以其bug分类社区的集中化而闻名。在中央缴款人突然退休之后，社区组织和业绩发生了很大变化。我们分析了这一事件如何与负面情绪相关，无论是在双边电子邮件讨论与中央贡献者，并在整个社区的贡献者的水平。然后，我们将我们的研究扩展到考虑Gentoo贡献者的活动模式。我们发现，贡献者更有可能变得不活跃时，他们表达强烈的积极或消极的情绪在错误跟踪器，或者当他们偏离预期值的情绪在邮件列表中。我们使用这些见解来开发贝叶斯分类器，检测贡献者离开项目的风险。我们的分析为通过情感分析测量在线贡献者动机和实时预测开源软件项目中的贡献者流动率开辟了新的视角。
英文摘要：
We analyse the relation between the emotions and the activity of contributors in the Open Source Software project Gentoo. Our case study builds on extensive data sets from the project's bug tracking platform Bugzilla, to quantify the activity of contributors, and its mail archives, to quantify the emotions of contributors by means of sentiment analysis. The Gentoo project is known for a period of centralization within its bug triaging community. This was followed by considerable changes in community organization and performance after the sudden retirement of the central contributor. We analyse how this event correlates with the negative emotions, both in bilateral email discussions with the central contributor, and at the level of the whole community of contributors. We then extend our study to consider the activity patterns on Gentoo contributors in general. We find that contributors are more likely to become inactive when they express strong positive or negative emotions in the bug tracker, or when they deviate from the expected value of emotions in the mailing list. We use these insights to develop a Bayesian classifier that detects the risk of contributors leaving the project. Our analysis opens new perspectives for measuring online contributor motivation by means of sentiment analysis and for real-time predictions of contributor turnover in Open Source Software projects.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
