2013Unpublished venueRequires access

A Fuzzy Based Fault Analysis Approach to Analyze Software Quality

Garima Chawla

Open publisher page 0 citations

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.

About this research paper

What this paper is about

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.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Software quality, Verification and validation, Software sizing, Computer science, Reliability engineering, Software construction, Software metric, Software quality analyst

Related papers

Back to paper searchBrowse research topicsOriginal source
A Fuzzy Based Fault Analysis Approach to Analyze Software Quality — Research Paper | ScholarLens