Empirical Validation of Structural Complexity Metric and Complexity Management for Engineering Systems
Empirical Validation of Structural Complexity Metric and Complexity Management for Engineering Systems
复制标题
工程系统结构复杂性度量和复杂性管理的实证验证
作者：
Kaushik Sinha;O. Weck
结构复杂性的定量评估对于工程复杂系统的表征是必不可少的。本文描述了结构复杂性的定量度量，对结构复杂性度量进行了实证验证研究，并引入了用于工程系统开发的复杂性管理框架。我们使用使用球和棒模型的简单实验对提出的复杂性度量进行了经验验证，并表明开发工作量随着结构复杂性的增加而超线性增加。观察到球和棒模型的构建时间的标准偏差随结构复杂性呈超线性变化。我们还描述了一个通用的统计程序，用于建立以结构复杂性为自变量的成本估计关系。我们将复杂性的感知概念区分为观察者依赖的属性，并将其与复杂性进行对比，复杂性是系统架构的属性。最后，我们引入了基于性能-复杂性交易空间的系统价值概念，并引入了系统开发的复杂性管理框架。
Quantitative assessment of structural complexity is essential for characterization of engineered complex systems. In this paper, we describe a quantitative measure for structural complexity, conduct an empirical validation study of the structural complexity metric, and introduce a complexity management framework for engineering system development. We perform empirical validation of the proposed complexity metric using simple experiments using ball and stick models and show that the development effort increases superlinearly with increasing structural complexity. The standard deviation of the build time for ball and stick models is observed to vary superlinearly with structural complexity. We also describe a generic statistical procedure for building such cost estimation relationships with structural complexity as the independent variable. We distinguish the notion of perception of complexity as an observer‐dependent property and contrast that with complexity, which is a property of the system architecture. Finally, we introduce the notion of system value based on performance‐complexity trade space and introduce a complexity management framework for system development.