AN IMPROVED FUZZY MODEL TO PREDICT AN IMPROVED FUZZY MODEL TO PREDICT AN IMPROVED FUZZY MODEL TO PREDICT AN IMPROVED FUZZY MODEL TO PREDICT SOFTWARE RELIABILITY SOFTWARE RELIABILITY SOFTWARE RELIABILITY SOFTWARE RELIABILITY
Gitika Chawla, Sanjay Kumar, Deepak Kumar Gupta, Deepak Goel, Pankaj Kumar Gupta · 2012
Software faults are one of major criteria to estima te the software quality or the software reliability. There are number of matrices defined that uses the software f aults to estimate the software quality. But when we have a large software system with thousands of class modul es, in such case it is not easy to apply the software m atrices on each module of software system. The present work is the solution of the defined problem. In this work software quality is estimated by using the rejectio n method on software faults. The rejection method is applied on the basis on Fuzzy Logic in a software system. To perform the analysis in an effective way the weightage approach is used on the software faults. In this work we have assigned different weightage on software faults to categorize the faults respective to fault criticality and the frequency. Once the faults are categorized the next work is the implementation of proposed work software fault to represents the accepted and rejec ted modules from the software system. The obtained result shows the better visualization of software quality in case of software fault analysis.