Assessment of Effective Risk in Software Projects based on Wallace’s Classification Using Fuzzy Logic

Abstract

Software development always faces unexpected events such as technology changes, environmental changes, changing user needs. These changes will increase the risk in software projects. We need to risk management to deal with software risks. Risk assessment is one of the most important factors in risk and pro ject management of software projects. In this paper, we use Wallace's work and five factors to present an efficient method to measure software risk using fuzzy logic. Team, Planning, Co mplexity, Requirements and User are factors that we use in this paper. Results of experiments shows that our framework is mo re efficient than other frameworks and approaches for risk assessment in software projects.