Work place: Mazandaran University of Sciences and Technology, Iran
E-mail: maede.golbaghi@gmail.com
Website:
Research Interests: Software Creation and Management, Software Engineering, Data Mining, Data Structures and Algorithms, Logic Calculi, Logic Circuit Theory
Biography
Maedeh Golbaghi received her M.Sc. in Information Technology Engineering form Mazandaran University of Science and Technology (MUST), Mazandaran, Iran. Her research interests are in the areas of optimization, software engineering, data preprocessing, risk management and fuzzy logic and data mining.
By Ali Yavari Maede Golbaghi Hossein Momeni
DOI: https://doi.org/10.5815/ijieeb.2013.04.08, Pub. Date: 8 Oct. 2013
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.
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