Analysis and Evaluation of Software Aggregative Risk Using Soft Computing Techniques

Software development risk is one of the major factors that affect the software cost, reliability and deadlines. Risk analysis begins with the very presentation of software proposal. Risk factors are added with software cost at each successive step. Other then this some other factors like availability of resources, software duration also affect the software risk. In this work we will provide a model using soft computing technique like 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.