Adaptive agility

Todd A. Little, Forrest Greene, Tessy Phillips, R. Pilger, Robert Poldervaart
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引用次数: 8

Abstract

To maximize the velocity of business value delivery Alistair Cockburn talks of having a process that is "barely sufficient". At Landmark Graphics we developed some guidelines as to what "barely sufficient" means for our various software projects. We examined over 60 projects and observed two primary attributes that influenced the type of process used: complexity and uncertainty. We provide a scoring model for plotting projects onto a four quadrant graph, which we use to categorize projects into dogs - simple projects with low uncertainty, colts - simple projects with high uncertainty, cows - complex projects with low uncertainty, or bulls - complex projects with high uncertainty. We adapt our agile process from a core set of barely sufficient practices that all projects use and add processes and practices according to a project's profile. One key benefit of this approach has been identifying project drivers and providing early guidance to project teams so that they can start with a process that is close to appropriate.
自适应敏捷性
为了最大化业务价值交付的速度,Alistair Cockburn谈到了拥有一个“勉强够用”的流程。在Landmark Graphics,我们制定了一些关于“勉强足够”对我们各种软件项目的含义的指导方针。我们检查了60多个项目,并观察到影响所使用过程类型的两个主要属性:复杂性和不确定性。我们提供了一个评分模型,用于将项目绘制到四象限图上,我们使用该模型将项目分类为狗-低不确定性的简单项目,小马-高不确定性的简单项目,牛-低不确定性的复杂项目,或公牛-高不确定性的复杂项目。我们从一组核心实践中调整我们的敏捷过程,所有项目都使用这些实践,并根据项目的概要添加过程和实践。该方法的一个关键好处是确定项目驱动因素,并为项目团队提供早期指导,以便他们可以从接近合适的过程开始。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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