Software reusability assessment using soft computing techniques

Author:

Singh Yogesh1,Bhatia Pradeep Kumar2,Sangwan Omprakash3

Affiliation:

1. GGS Indraprastha University, New Delhi, India

2. Guru Jambheshwar University of Science & Technology, Hisar, Haryana, India

3. Amity Resource Centre for Information Technology, Amity Institute of Information Technology, Amity University, Uttar Pradesh, India

Abstract

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.

Publisher

Association for Computing Machinery (ACM)

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