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A Fuzzy Improved Association Mining Approach to Estimate Software Quality

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Author(s): Sonakshi Rana | Rahul Kumar Yadav

Journal: International Journal of Computer Science and Mobile Computing
ISSN 2320-088X

Volume: 2;
Issue: 6;
Start page: 116;
Date: 2013;
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Keywords: Software Risk | Reliability | Fuzzy Logic | Weighted Approach

ABSTRACT
Software Quality analysis is one of the major criteria required to analyze the software life as wellas software reliability. Software quality is been defined under different parameters. Software risk analysis isone such criterion required to identify the software reliability. When software is planned or being developedaccording to the type of software as well as the efforts required to develop the software collectively defines thesoftware risk. Such as the availability of the required software, hardware, manpower all are the predictiverisk factors. In this work, these all risk factors are defined under the fuzzy rule. Based on this fuzzyestimation to the some weightage is been assigned to these all risk factors. Finally, the aggregative risk isbeen computed to predict the software reliability under the risk vector. The presented work is capable toidentify the software risk under three levels. These three levels are individual vector risk, sub category riskand the aggregative risk.
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