International Journal of Information Engineering and Electronic Business(IJIEEB)
ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)
Published By: MECS Press
IJIEEB Vol.5, No.4, Oct. 2013
Assessment of Effective Risk in Software Projects based on Wallace’s Classification Using Fuzzy Logic
Full Text (PDF, 185KB), PP.58-64
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 project 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, Complexity, Requirements and User are factors that we use in this paper. Results of experiments shows that our framework is more efficient than other frameworks and approaches for risk assessment in software projects.
Cite This Paper
Ali Yavari, Maede Golbaghi, Hossein Momeni,"Assessment of Effective Risk in Software Projects based on Wallace’s Classification Using Fuzzy Logic", IJIEEB, vol.5, no.4, pp.58-64, 2013. DOI: 10.5815/ijieeb.2013.04.08
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