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Taxing the development structure of open source communities: An information processing view

机译:对开源社区的开发结构征税:信息处理观点

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Committers in Free/Libre and Open Source Software (FLOSS) projects shoulder responsibility for evaluating contributions and coordinating the broader community development effort. Given committers' central role in development processes, we examine whether how they are organized influences FLOSS community performance. Specifically, drawing on the lens of Organizational Information Processing Theory (OIPT), we develop a model that explains how committal a structure's ability to manage information impacts FLOSS community performance. Based on archival data drawn from 237 active FLOSS communities, we found that the performance of centralized and decentralized FLOSS communities varied with three conditions tied to information flows: task routineness, uncertainty and task interdependence. Our empirical results support the idea that FLOSS communities performing development tasks that are generally routine, highly interdependent, and generate little contributor uncertainty will perform better under a centralized committal structure. On the other hand, decentralized committal structures thrive under the conditions of task non-routineness, low task interdependence, and high contributor uncertainty. We conclude with a discussion of results, limitations, and directions for future research. (C) 2015 Elsevier B.V. All rights reserved.
机译:自由/自由和开源软件(FLOSS)项目的提交者肩负着评估贡献和协调更广泛的社区发展工作的责任。考虑到提交者在开发过程中的核心作用,我们将检查他们的组织方式是否影响FLOSS社区的绩效。具体来说,我们以组织信息处理理论(OIPT)为视角,开发了一个模型,该模型解释了结构管理信息的能力如何影响FLOSS社区的绩效。基于从237个活跃的FLOSS社区中获得的档案数据,我们发现集中式和分散式FLOSS社区的绩效随着与信息流相关的三个条件而变化:任务常规,不确定性和任务相互依赖。我们的经验结果支持这样的想法,即FLOSS社区执行通常是例行的,高度相互依赖的并且几乎没有贡献者不确定性的开发任务,在集中的居间结构下将表现更好。另一方面,分散任务结构在任务非常规性,低任务相互依赖性和高贡献者不确定性的条件下蓬勃发展。最后,我们讨论了结果,局限性和未来研究的方向。 (C)2015 Elsevier B.V.保留所有权利。

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