Development of early software reliability prediction model for fuzzy environment

Abstract

viii newlineABSTRACT newlineSoftware release planning is one of the complicated areas of software engineering. newlinePlanning a software release includes assigning requirements to sequence of releases in newlinethe most beneficial way within the limited effort, budget, and time available. The newlinecomplexity of the software release planning is due to the incompleteness and the newlineuncertainty challenges that characterize the software release planning problem. In order newlineto handle efficiently the incompleteness and uncertainty challenges, the computer newlineintelligent fuzzy logic approach can be utilized. Although several methods have been newlineproposed to handle the incompleteness and uncertainty challenges, they are all based newlineon optimization methods. The present thesis is devoted to the mathematical analysis newlineand performance prediction of software systems in different frameworks for newlinequantifying reliability growth. The models developed in the present thesis exhibit the newlinerelease options that can be chosen at any time during the software testing phase, in order newlineto avoid wasting effort in the development process. To ensure ongoing software quality, newlinethe new release options of the software are suggested in different scenario. These newlinerelease policies suggest improved and error-free versions and the process of providing newlinenew versions throughout the software life-cycle. Our study will provide an insight to newlinethe software developers and testers to agree with high quality software. newline