Modelling Rate of Software Aggregative Risk Using Fuzzy Logic Technique

Harish Mittal, Kulbhushan Bansal, Maitreyee Dutta


Despite numerous available methods of software risk management, software projects have a high rate of failure. Software risk analysis begins with the introduction of software proposal. Risk factors are added  at each consecutive step. In this work we will introduce a model using fuzzy logic to efficiently evaluate the software aggregative risk based on some of these factors (risk items) in order to minimize risks in software development and enhance quality and reliability of software. 


Risk Analysis, Software aggregative risk, Risk aggregation, Risk design, Risk management cycle

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