International Journal of Modern Education and Computer Science (IJMECS)
IJMECS Vol. 7, No. 10, 8 Oct. 2015
Cover page and Table of Contents: PDF (size: 476KB)
Measuring of Software Maintainability Using Adaptive Fuzzy Neural Network
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Author(s)
Index Terms
Adaptive Fuzzy Neural Network, maintenance, Software, Measuring
Abstract
Software maintenance mainly refers to the process of correcting software after delivery. Maintenance process is usually a high percentage of Organizational effort to the whole process of software programs. As a result, the effectiveness of the entire production process and customer satisfaction is dependent on the effectiveness of maintenance activities. Because many factors including type of service, type of product and human factors is dependent on the maintenance process, And the imprecise nature of qualitative factors and sub-criteria leading software maintenance, accurate assessment can be maintained in order to measure the effectiveness of programs seem highly desirable. In this paper, using adaptive fuzzy neural network to provide a method for evaluating the capability of software maintenance conducted after the tests, the root mean square error of the proposed method was equal to 0.34331. The results show that the method is based on adaptive fuzzy neural, maintainability software performance evaluation is appropriate.
Cite This Paper
Mohammad Zavvar, Farhad Ramezani, "Measuring of Software Maintainability Using Adaptive Fuzzy Neural Network", International Journal of Modern Education and Computer Science (IJMECS), vol.7, no.10, pp.27-32, 2015. DOI:10.5815/ijmecs.2015.10.04
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