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arXiv 2008.08652cs.SE
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持续交付中的软件团队组织:扎根理论方法

The Organization of Software Teams in the Quest for Continuous Delivery: A Grounded Theory Approach

Leonardo Leite, Gustavo Pinto, Fabio Kon, Paulo Meirelles

摘要:

内容:为了加快上市时间并提高客户满意度,软件生产组织采用了持续交付实践,影响了开发和基础设施专业人员之间的关系。然而,没有大量的文献已经实质性地解决了软件行业如何构建开发和基础设施团队的组织。目的:在这项研究中,我们调查了软件生产组织如何构建他们的开发和基础设施团队,特别是这些团队之间的劳动分工以及他们如何互动。方法:在与7位DevOps专家进行头脑风暴以更好地制定我们的研究和程序之后,我们收集并分析了来自37位IT专业人士的半结构化访谈的数据,遵循扎根理论指南。结果如下:经过仔细分析,我们确定了四种常见的组织结构:(1)孤立的部门,(2)经典的DevOps,(3)跨职能团队和(4)平台团队。我们还观察到,一些公司正在这些结构之间过渡。结论:本研究的主要贡献是以分类学的形式提出了一种理论,该理论将发现的结构与它们的属性一起组织起来。这一理论可以指导研究人员和实践者思考如何更好地组织软件生产组织中的开发和基础设施专业人员。

英文摘要:

Context: To accelerate time-to-market and improve customer satisfaction, software-producing organizations have adopted continuous delivery practices, impacting the relations between development and infrastructure professionals. Yet, no substantial literature has substantially tackled how the software industry structures the organization of development and infrastructure teams. Objective: In this study, we investigate how software-producing organizations structure their development and infrastructure teams, specifically how is the division of labor among these groups and how they interact. Method: After brainstorming with 7 DevOps experts to better formulate our research and procedures, we collected and analyzed data from 37 semi-structured interviews with IT professionals, following Grounded Theory guidelines. Results: After a careful analysis, we identified four common organizational structures: (1) siloed departments, (2) classical DevOps, (3) cross-functional teams, and (4) platform teams. We also observed that some companies are transitioning between these structures. Conclusion: The main contribution of this study is a theory in the form of a taxonomy that organizes the found structures along with their properties. This theory could guide researchers and practitioners to think about how to better structure development and infrastructure professionals in software-producing organizations.

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。

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