slugComparative Study of Various Neural Network Models for Software Quality Estimation
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 3
Abstract
Quality measurement is a challenging job now a day to measure accurate quality. There are number of models available to measure the software quality. This paper presents the application of neural network in software quality estimation based on object oriented metrics. Our comparative focused on three neural network models namely Ward Neural Network (WNN), General Regression Neural network (GRNN) and Fuzzy Neural Network(FNN) based on object oriented metrics. The object oriented metrics used for this study are Coupling between Objects (CBO), Depth of Inheritance Tree (DIT), Number of Children (NOC), Response for a Class (RFC), Weighted Methods per Class (WMC), Lack of Cohesion in Methods(LCOM) and Message Passing Coupling (MPC). Fuzzy-Neural network is found to be more accurate as compared to other mentioned models on the bases of realistic data.
Authors and Affiliations
Mohan Goswami, Pradeep Kumar Bhatia
Keywords
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