Continuous Planning and Forecasting Framework (CPFF) for Agile Project Management: Overcoming the

Thomas Dilger, Christian Ploder, W. Haas, Pascal Schöttle, R. Bernsteiner
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引用次数: 1

Abstract

Despite the many problems the COVID-19 pandemic creates in the economies worldwide, recent research in academia tries to find new ways to support enterprises and companies counteracting the crisis. This study discusses the question of how an agile project budgeting resp. The Continuous Planning and Forecasting Framework (CPFF) for agile project management can be used to support teams working in an "agilefall" (the in-between state of traditional and agile) environment to reach a certain level of certainty under uncertain conditions. This contribution refines the first drafted Continuous Forecasting Framework, presented on the Software Engineering 2020, incorporating feedback from academia and practitioners using agile methods. For readers who have never worked in a real agile environment, it is often difficult to grasp why getting off the strict path following an iterative beyond budgeting approach could increase certainty. Therefore, the authors depict the framework by applying it to specific problems within traditional project boundaries focusing on elements that could help teams overcoming the "agilefall"-budgeting trap.
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敏捷项目管理的持续计划和预测框架(CPFF):克服
尽管COVID-19大流行给全球经济带来了许多问题,但学术界最近的研究试图找到支持企业和公司应对危机的新方法。本研究讨论了敏捷项目预算如何体现的问题。用于敏捷项目管理的持续计划和预测框架(CPFF)可用于支持在“敏捷下降”(传统和敏捷之间的状态)环境中工作的团队在不确定条件下达到一定程度的确定性。这一贡献细化了第一份连续预测框架草案,该框架在软件工程2020上提出,结合了来自学术界和使用敏捷方法的实践者的反馈。对于从未在真正的敏捷环境中工作过的读者来说,通常很难理解为什么脱离严格的路径,遵循迭代超越预算的方法可以增加确定性。因此,作者通过将该框架应用于传统项目边界内的特定问题来描述该框架,重点关注可以帮助团队克服“敏捷坠落”预算陷阱的元素。
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