Abstract
The cost of large complex systems can be reduced by using system complexity as a cost proxy during the initial stages of system architecting. This requires evaluation of system complexity in terms of information available during those early stages. This paper presents the design of complexity metrics in terms of the aspects of systems that drive system complexity. System modularity is a well-known technique for reducing system complexity by clustering system elements into hierarchical modules. This paper also explains how complexity metrics can be designed to be applicable for hierarchical systems.
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