Assessment of Effective Risk in Software Projects based on Wallace’s Classification Using Fuzzy Logic
Автор: Ali Yavari, Maede Golbaghi, Hossein Momeni
Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb
Статья в выпуске: 4 vol.5, 2013 года.
Бесплатный доступ
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.
Software Risk, Assessment, Wallace’s Classification, Fuzzy Logic
Короткий адрес: https://sciup.org/15013200
IDR: 15013200
Список литературы Assessment of Effective Risk in Software Projects based on Wallace’s Classification Using Fuzzy Logic
- Lazzerini, Beatrice, and Lusine Mkrtchyan. "Analyzing risk impact factors using extended fuzzy cognitive maps." Systems Journal, IEEE 5.2 (2011): 288-297.
- Boehm, Barry W. "Software risk management: principles and practices." Software, IEEE 8.1 (1991): 32-41.
- Li, Yang, and Nan Li. "Software project risk assessment based on fuzzy linguistic multiple attribute decision making." Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on. IEEE, 2009.
- H. Barki, S. Rivard, J. Talbot, Toward an assessment of software development risk, Journal of Management Information Systems 10 (2), 1993, pp. 203–225.
- R. Schmidt, et al., Identifying software project risks: an international Delphi study, Journal of Management Information Systems 17 (4), 2001, pp. 5–36.
- Huang, Sun-Jen, and Wen-Ming Han. "Exploring the relationship between software project duration and risk exposure: A cluster analysis." Information & Management 45.3 (2008): 175-182
- Bannerman, Paul L. "Risk and risk management in software projects: A reassessment." Journal of Systems and Software 81.12 (2008): 2118-2133.
- T. DeMarco, T. Lister, Waltzing With Bears: Managing Risk on Software Projects, Dorset House Publishing Company, 2003.
- Atanassov, Krassimir T. "Intuitionistic fuzzy sets." Fuzzy sets and Systems 20.1 (1986): 87-96.
- Grzegorzewski, Przemys?aw. "Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdorff metric." Fuzzy Sets and Systems 148.2 (2004): 319-328.
- Wang, Zhoujing, Linfeng Wang, and Kevin W. Li. "A linear programming method for interval-valued intuitionistic fuzzy multiattribute group decision making." Control and Decision Conference (CCDC), 2011 Chinese. IEEE, 2011.
- Wei, Guiwu. "Some arithmetic aggregation operators with intuitionistic trapezoidal fuzzy numbers and their application to group decision making." Journal of Computers 5.3 (2010): 345-351.
