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Complexity measures are informative indicators that can potentially aid designers and system engineers in decision making process in all system life-cycle stages: problem definition, requirements analysis, conceptual design, configuration design, detail design and optimization, and integration and testing. The guiding principle here is that of 14th Century philosopher, William of Okham. This principle, better known as Okham's Razor, states that "objects may not be multiplied beyond necessity" or simple is better. This is a generally accepted principle, but why is it so? Chaos theory help us explain why simple is better to some extent. In mathematics the simple is synonymous with linear, and complex is synonymous with non-linear. Chaotic systems are over-sensitive systems that are born out of severe non-linearity.
There are many outstanding but basic questions with regards to complexity measure that need investigation: