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Introducing Fuzzy Logic for Software Reliability Admeasurement

S Vishnupriya, Nirsandh Ganesan, Ms. Piriyanga, Kiruthiga Devi

2022International Research Journal on Advanced Science Hub37 citationsDOIOpen Access PDF

Abstract

Software reliability estimation using fuzzy logic is shown in this article. The suggested approach tries to assign target dependability to each of its parts. The initial stage in estimating reliability is to combine the aspects of the experts in this proposed method. The system’s element of proportionality is evaluated in the second phase. Employing the equations of defuzzification, the system elements undergo the process of defuzzification. We must compute the weightage of the subset of the framework (i.e., module) when we have obtained precise data. The subset’s reliability is estimated, at the root of its weightage. By testing the most often used functions first and less frequently used functions second, the portrait of operational status is determined, which is one of the most important criteria for ensuring successful testing and increased reliability (Ebeling). Efficiency has improved in comparison to the prior results obtained. It aids in the assignment of reliability to every subset prior to the framework of the real system. This even takes Operation status into account as an element of proportionality, which assists in providing reliability to the subsets frequently used, designing a framework for reliability admeasurements, advantageous for all the subsets present.

Topics & Concepts

DependabilityReliability (semiconductor)Fuzzy logicComputer scienceReliability engineeringDefuzzificationSoftware qualitySoftwareData miningFuzzy setFuzzy numberArtificial intelligenceSoftware developmentEngineeringSoftware engineeringProgramming languagePower (physics)PhysicsQuantum mechanicsAdvanced Data Processing TechniquesCybersecurity and Information SystemsInformation Systems and Technology Applications
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