The complexity metrics has an important role in assessing the quality of source code. Obtainable complexity metrics is failed to accumulate precise system failure information. In this work proposes adequate complexity metrics for structural measure which collect the exact system information that cause the system failure in source code. Then, by censure M cCabe's cyclomatic number and the framework of adequate metrics that can be extensively observe the structural complexity of the various statements in the code. The proposed metrics verifies the accuracy of the source code evaluation, gains the proportion of software complexity metric by the experimental approach whereas, software complexity measurement is consistent with the actual result. General TermsComplexity measurement
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