A Fuzzy Based Fault Analysis Approach to Analyze Software Quality
Garima Chawla
Abstract
Garima Chawla
Abstract
One of the important aspects of software development is the software quality. There are different measures of software quality analyzed by different researchers. One of such measure of software quality is the software fault analysis. Software fault analysis itself defines the criticality of software system. There are different parameters to perform this risk analysis. The presented work is about the study of software reliability under risk model. In this paper, a fuzzy based software fault analysis system is defined to analyze the modular quality of software system. At the initial stage, the modules are defined with associated faults and their criticality. In second stage, the relationship between these faults is presented to estimate the module criticality and at the final stage the software quality is defined for the whole system. The work is implemented in matlab environment and obtained results show the effective estimation of software quality under defined parameter and approach.
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One of the important aspects of software development is the software quality. There are different measures of software quality analyzed by different researchers. One of such measure of software quality is the software fault analysis. Software fault analysis itself defines the criticality of software system. There are different parameters to perform this risk analysis. The presented work is about the study of software reliability under risk model. In this paper, a fuzzy based software fault analysis system is defined to analyze the modular quality of software system. At the initial stage, the modules are defined with associated faults and their criticality. In second stage, the relationship between these faults is presented to estimate the module criticality and at the final stage the software quality is defined for the whole system. The work is implemented in matlab environment and obtained results show the effective estimation of software quality under defined parameter and approach.
Key concepts: Software quality, Verification and validation, Software sizing, Computer science, Reliability engineering, Software construction, Software metric, Software quality analyst