Software Development Waste

Todd Sedano, P. Ralph, Cécile Péraire
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引用次数: 87

Abstract

Context: Since software development is a complex socio-technical activity that involves coordinating different disciplines and skill sets, it provides ample opportunities for waste to emerge. Waste is any activity that produces no value for the customer or user. Objective: The purpose of this paper is to identify and describe different types of waste in software development. Method: Following Constructivist Grounded Theory, we conducted a two-year five-month participant-observation study of eight software development projects at Pivotal, a software development consultancy. We also interviewed 33 software engineers, interaction designers, and product managers, and analyzed one year of retrospection topics. We iterated between analysis and theoretical sampling until achieving theoretical saturation. Results: This paper introduces the first empirical waste taxonomy. It identifies nine wastes and explores their causes, underlying tensions, and overall relationship to the waste taxonomy found in Lean Software Development. Limitations: Grounded Theory does not support statistical generalization. While the proposed taxonomy appears widely applicable, organizations with different software development cultures may experience different waste types. Conclusion: Software development projects manifest nine types of waste: building the wrong feature or product, mismanaging the backlog, rework, unnecessarily complex solutions, extraneous cognitive load, psychological distress, waiting/multitasking, knowledge loss, and ineffective communication.
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软件开发浪费
上下文:由于软件开发是一项复杂的社会技术活动,涉及到协调不同的规程和技能集,因此它为浪费提供了大量出现的机会。浪费是指不为顾客或用户创造价值的任何活动。目的:本文的目的是识别和描述软件开发中不同类型的浪费。方法:遵循建构主义扎根理论,我们在Pivotal(一家软件开发咨询公司)对八个软件开发项目进行了为期两年、为期五个月的参与者观察研究。我们还采访了33位软件工程师、交互设计师和产品经理,并分析了一年的回顾主题。我们在分析和理论采样之间反复迭代,直到达到理论饱和。结果:介绍了第一个经验废物分类方法。它确定了九种浪费,并探讨了它们的原因、潜在的紧张关系,以及与精益软件开发中发现的浪费分类的总体关系。局限性:扎根理论不支持统计泛化。虽然建议的分类法似乎广泛适用,但是具有不同软件开发文化的组织可能会遇到不同的浪费类型。结论:软件开发项目显示了九种类型的浪费:构建错误的特性或产品,对待办事项管理不当,返工,不必要的复杂解决方案,无关的认知负荷,心理困扰,等待/多任务处理,知识损失,以及无效的沟通。
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