RMC – a Length-independent Measure of Software Complexity
نویسنده
چکیده
A Resource Model of software Complexity (RMC) based on measurement theory is introduced. It is argued that a complexity measure conforming with our empirical understanding of complexity should be independent of software length. The measure is defined by w(p) = l(p)c(p), where p is any piece of software, w(p) the resouces needed in developing it, l(p) its length, and c(p) its complexity. Rules for computing RMC for collection, sequence, choice and iteration are given. Arguments for the usability of RMC are supplied by analytical means and by case studies.
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تاریخ انتشار 2007