Use of Fuzzy Logic for Software’s Risk and Quality Estimation

Abstract

Reliability means a system should do what it is supposed to do in an effective and efficient manner. It is one of the major quality attribute of software. Software’s reliability get influenced by the factors like requirement specification, risk, time, cost, interaction and resource’s capability etc... To measure reliability, while developing or after developing the software; is used to be a tough row to hoe. Though, many software reliability growth models have been evolved so far but still they are restricted to test data and nature of the software project somewhere. In this paper, we propose the use of fuzzy logic with Takagi Sugeno fuzzy system to measure risks and quality for estimating the software’s reliability in a better way. as Takagi Sugeno method gives response in fj(x) form that may be linear or constant. We need not to approximate the floating values because fuzzy rules can be applied on floating values.