Context: Given the acknowledged need to understand the people processes enacted during software development, software repositories and mailing lists have become a focus for many studies. However, researchers have tended to use mostly mathematical and frequency-based techniques to examine the software artifacts contained within them. Objective: There is growing recognition that these approaches uncover only a partial picture of what happens during software projects, and deeper contextual approaches may provide further understanding of the intricate nature of software teams' dynamics. We demonstrate the relevance and utility of such approaches in this study. Method: We use psycholinguistics and directed content analysis (CA) to study the way project tasks drive teams' attitudes and knowledge sharing. We compare the outcomes of these two approaches and offer methodological advice for researchers using similar forms of repository data. Results: Our analysis reveals significant differences in the way teams work given their portfolio of tasks and the distribution of roles. Conclusion: We overcome the limitations associated with employing purely quantitative approaches, while avoiding the time-intensive and potentially invasive nature of field work required in full case studies.

中文翻译：

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在存储库数据研究中采用更软的方法：比较分析

背景：鉴于公认需要了解软件开发过程中制定的人员流程，软件存储库和邮件列表已成为许多研究的焦点。然而，研究人员倾向于主要使用数学和基于频率的技术来检查其中包含的软件工件。目标：越来越多的人认识到，这些方法只能揭示软件项目期间发生的部分情况，而更深入的上下文方法可能会提供对软件团队动态的复杂性质的进一步理解。我们在本研究中展示了此类方法的相关性和实用性。方法：我们使用心理语言学和定向内容分析 (CA) 来研究项目任务驱动团队态度和知识共享的方式。我们比较了这两种方法的结果，并为使用类似形式存储库数据的研究人员提供方法学建议。结果：我们的分析显示，鉴于团队的任务组合和角色分配，他们的工作方式存在显着差异。结论：我们克服了与采用纯定量方法相关的局限性，同时避免了完整案例研究所需的现场工作的时间密集型和潜在的侵入性。