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Control in Software Project Portfolios: A Complex Adaptive Systems Approach

机译:在软件项目投资组合中控制:复杂的自适应系统方法

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摘要

Effective project portfolio management (PPM) can both help reverse the prevailing trend of software failure and act as a key driver of business value. Despite the importance of PPM and its success in other disciplines such as finance and new product development, it has not been studied widely in information systems with little research examining PPM in an agile context. This study proposes to address this gap by using complex adaptive systems theory as a lens to study the enactment and effectiveness of four known modes of control (behavior, outcome, clan and self) in agile software project portfolios. It proposes an interpretivist approach using exploratory case studies to investigate portfolio control in its natural context. This study will contribute to the advancement of control theory and provide new insights for theory and practice by integrating the study of PPM and control in an agile environment.
机译:有效的项目组合管理(PPM)都可以帮助扭转软件故障的普遍趋势,并充当业务价值的关键驱动因素。尽管PPM的重要性及其在融资和新产品开发等其他学科的成功,但在敏捷环境中缺少研究PPM的信息系统中尚未在信息系统中进行广泛研究。本研究提出通过使用复杂的自适应系统理论作为镜头来解决这一差距,以研究敏捷软件项目组合中的四种已知的控制模式(行为,结果,氏族和自我)的颁布和有效性。它提出了一种解释主义方法,使用探索性案例研究来调查其自然背景下的投资组合控制。本研究将有助于对控制理论的进步,并通过将PPM和控制在敏捷环境中的研究中,为理论和实践提供新的见解。

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