将开发者分为核心和外围:基于数量和网络度量的实证研究

Mitchell Joblin, S. Apel, Claus Hunsen, W. Mauerer
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引用次数: 86

摘要

了解开发人员在软件项目中扮演的角色对于理解项目的协作动态是至关重要的。在实践中,开发人员通常根据核心和外围角色的二分法进行分类。通常,基于计数的操作化,它依赖于单个开发人员活动的简单计数(例如,提交的数量),用于此目的,但是存在关于它们的有效性和引出有意义的见解的能力的担忧。为了阐明这个问题,我们调查了基于计数的开发人员角色的操作化是否产生一致的结果,并且我们通过调查166名开发人员来验证他们对开发人员的看法。在现有技术的基础上,我们提出了一个关于开发人员角色的关系视角,使用细粒度的开发人员网络对组织结构进行建模,并根据开发人员在开发人员网络中的位置和稳定性来检查开发人员角色。在对10个重要的开源项目的研究中,我们发现基于计数的和我们提出的基于网络的核心外设操作实现之间的主要区别在于基于网络的比基于计数的更符合开发人员的看法。此外,我们证明了关系视角可以揭示进一步有意义的见解,例如核心开发人员表现出高度的位置稳定性,在层次结构中的上层位置,以及与其他核心开发人员的高度协调,这证实了先前工作的假设。
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Classifying Developers into Core and Peripheral: An Empirical Study on Count and Network Metrics
Knowledge about the roles developers play in a software project is crucial to understanding the project's collaborative dynamics. In practice, developers are often classified according to the dichotomy of core and peripheral roles. Typically, count-based operationalizations, which rely on simple counts of individual developer activities (e.g., number of commits), are used for this purpose, but there is concern regarding their validity and ability to elicit meaningful insights. To shed light on this issue, we investigate whether count-based operationalizations of developer roles produce consistent results, and we validate them with respect to developers' perceptions by surveying 166 developers. Improving over the state of the art, we propose a relational perspective on developer roles, using fine-grained developer networks modeling the organizational structure, and by examining developer roles in terms of developers' positions and stability within the developer network. In a study of 10 substantial open-source projects, we found that the primary difference between the count-based and our proposed network-based core–peripheral operationalizations is that the network-based ones agree more with developer perception than count-based ones. Furthermore, we demonstrate that a relational perspective can reveal further meaningful insights, such as that core developers exhibit high positional stability, upper positions in the hierarchy, and high levels of coordination with other core developers, which confirms assumptions of previous work.
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