“去而复返?”论软件社区分散对生产力的影响

Stefano Lambiase, Gemma Catolino, Fabiano Pecorelli, D. Tamburri, Fabio Palomba, Willem-Jan van den Heuvel, F. Ferrucci
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引用次数: 1

摘要

对研究人员和实践者来说,评估和理解生产力仍然是一项至关重要的任务。研究人员花费了大量的精力来确定影响软件开发人员生产力的因素,并提供了几种分析和预测这种度量的方法。尽管不同的工作集中于评估人类因素对生产力的影响,但很少有人知道文化/地理多样性对软件开发社区的影响。事实上,在之前的研究中,研究人员将文化方面视为抽象概念,而没有提供定量表征。这项工作对发展社区的文化和地理分散之间的关系进行了实证评估——即,一个社区在文化态度和属于它的成员的地理搭配方面的多样性,以及它的生产力。为了达到我们的目标,我们建立了一个包含产品和社会技术因素作为独立变量的统计模型,以评估与生产力的相关性,即在给定时间内执行的提交数量。然后,我们考虑了GitHub上25个开源社区的数据来运行我们的模型。我们的研究结果表明文化和地理上的分散影响生产力,因此鼓励管理者和实践者在软件开发生命周期的所有阶段考虑这些方面。
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“There and Back Again?” On the Influence of Software Community Dispersion Over Productivity
Estimating and understanding productivity still represents a crucial task for researchers and practitioners. Researchers spent significant effort identifying the factors that influence software developers’ productivity, providing several approaches for analyzing and predicting such a metric. Although different works focused on evaluating the impact of human factors on productivity, little is known about the influence of cultural/geographical diversity in software development communities. Indeed, in previous studies, researchers treated cultural aspects like an abstract concept without providing a quantitative representation. This work provides an empirical assessment of the relationship between cultural and geographical dispersion of a development community—namely, how diverse a community is in terms of cultural attitudes and geographical collocation of the members who belong to it—and its productivity. To reach our aim, we built a statistical model that contained product and socio-technical factors as independent variables to assess the correlation with productivity, i.e., the number of commits performed in a given time. Then, we ran our model considering data of 25 open-source communities on GitHub. Results of our study indicate that cultural and geographical dispersion impact productivity, thus encouraging managers and practitioners to consider such aspects during all the phases of the software development lifecycle.
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