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AN IMPROVED FUZZY MODEL TO PREDICT SOFTWARE RELIABILITY

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Author(s): Deepika Chawla | Sanjay Kumar | Deepak gupta | Deepak Goel | Pankaj Gupta

Journal: International Journal of Computer Science and Management Studies
ISSN 2231-5268

Volume: 12;
Issue: 03;
Start page: 44;
Date: 2012;
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Keywords: Software Reliability | Prediction

ABSTRACT
Software faults are one of major criteria to estimate the software quality or the software reliability. There are number of matrices defined that uses the software faults to estimate the software quality. But when we have a large software system with thousands of class modules, in such case it is not easy to apply the software matrices on each module of software system. The present work isthe solution of the defined problem. In this work software quality is estimated by using the rejection method on software faults. The rejection method is applied on the basis on Fuzzy Logic in a softwaresystem. 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 rejectedmodules from the software system. The obtained result shows the better visualization of software quality in case of software fault analysis.

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