Software reusability assessment using soft computing techniques

Software reuse, widely used now a days, is the development of software using some existing software components. In this paper we have proposed a model based on four parameters: Changeability, Interface Complexity, Understandability of Software and Documentation Quality for accessing software reusability levels using soft computing techniques viz. Fuzzy Logic, Neural Network and Neuro-Fuzzy. The proposed model using Neuro-Fuzzy technique is trained well and predicts satisfactory results with MARE 22% (21% for validation set 2) and MRE 0.007% (0.04 for validation set 2) when compared with other soft computing techniques.

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