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Towards using Data to Inform Decisions in Agile Software Development: Views of Available Data

机译：在使用数据以告知敏捷软件开发中的决策：可用数据的视图

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摘要

Software development comprises complex tasks which are performed by humans. It involves problem solving, domain understanding and communication skills as well as knowledge of a broad variety of technologies, architectures, and solution approaches. As such, software development projects include many situations where crucial decisions must be made. Making the appropriate organizational or technical choices for a given software team building a product can make the difference between project success or failure. Software development methods have introduced frameworks and sets of best practices for certain contexts, providing practitioners with established guidelines for these important choices. Current Agile methods employed in modern software development have highlighted the importance of the human factors in software development. These methods rely on short feedback loops and the self-organization of teams to enable collaborative decision making. While Agile methods stress the importance of empirical process control, i.e. relying on data to make decisions, they do not prescribe in detail how this goal should be achieved. In this paper, we describe the types and abstraction levels of data and decisions within modern software development teams and identify the benefits that usage of this data enables. We argue that the principles of data-driven decision making are highly applicable, yet underused, in modern Agile software development.
机译：软件开发包括人类执行的复杂任务。它涉及解决问题，域名理解和沟通技巧以及广泛的技术，架构和解决方案方法的知识。因此，软件开发项目包括许多情况，必须进行重要决策。为特定的软件团队建立适当的组织或技术选择，构建产品可以在项目成功或失败之间产生差异。软件开发方法引入了某些环境的框架和最佳实践集，为这些重要选择提供了既定指南的从业者。现代软件开发中采用的当前敏捷方法强调了人类因素在软件开发中的重要性。这些方法依靠短反馈循环和团队的自我组织，以实现协作决策。虽然敏捷方法强调经验过程控制的重要性，即依靠数据来做出决定，但他们没有详细规定这一目标应该如何实现这一目标。在本文中，我们描述了现代软件开发团队中数据和决策的类型和抽象级别，并确定了这种数据的使用情况。我们认为，数据驱动决策原则在现代敏捷软件开发中具有高度适用，但已被削弱。

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