Improvement of analysis model by removing improper parts based on functional size measurement

We propose a method to remove possible improper parts from an analysis model based on measured functional size tendencies of each function and object that cons titute the model. Actual review shows that frequently occurring troubles include ambiguity, defectiveness, inconsistency, and so on. In light of this , we propose a method for removing possible inappropriate element s from an analysis model. The proposed method uses the functional size measurement method. This paper shows inadequacies in analysis models based on actual reviewing research and explains a method for removing possible improper parts. Additionally, the improvement of the analysis model will be discussed concretely and illustrated with simple examples.