A subjective approach for ranking fuzzy numbers
Fuzzy Sets and Systems
A study of the ranking function approach through mean values
Fuzzy Sets and Systems
Combination of fuzzy numbers representing expert opinions
Fuzzy Sets and Systems
Software Development
Theory and Practice of Uncertain Programming
Theory and Practice of Uncertain Programming
Managing software requirements using quality function deployment
Software Quality Control
A Cost-Value Approach for Prioritizing Requirements
IEEE Software
The Analytic Hierarchy Process--An Exposition
Operations Research
Software Requirements Prioritizing
ICRE '96 Proceedings of the 2nd International Conference on Requirements Engineering (ICRE '96)
Priority Assessment of Software Requirements from Multiple Perspectives
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
A survey of credibility theory
Fuzzy Optimization and Decision Making
CERE '07 Proceedings of the 2007 Fifth International Workshop on Comparative Evaluation in Requirements Engineering
Requirements Prioritization Based on Benefit and Cost Prediction: An Agenda for Future Research
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments
Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments
Requirements Prioritization Based on Benefit and Cost Prediction: A Method Classification Framework
SEAA '08 Proceedings of the 2008 34th Euromicro Conference Software Engineering and Advanced Applications
Using Simulation to Investigate Requirements Prioritization Strategies
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
Group decision making to better respond customer needs in software development
Computers and Industrial Engineering
A Quality-Based Requirement Prioritization Framework Using Binary Inputs
AMS '10 Proceedings of the 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation
A fuzzy approach to requirements prioritization
SSBSE'11 Proceedings of the Third international conference on Search based software engineering
Expected value of fuzzy variable and fuzzy expected value models
IEEE Transactions on Fuzzy Systems
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It is well known that most of the approaches proposed in recent research to prioritize software requirements have not been widely adopted. These approaches are too complex and time consuming, or inconsistent and difficult to implement. This paper proposes a new approach to prioritize requirements that is practical and easily implementable. Whereas most proposed approaches quantify requirements in precise and crisp parameters, this paper takes in consideration the imprecise nature of requirements by modeling their attributes as fuzzy variables. As such, these variables are integrated into a fuzzy multi-attribute decision making problem in which the requirements represented as attributes are ranked via the expected value operator of a fuzzy variable. The expected values of the attributes in the problem are computed by numerical simulation. This approach is easily extendable to include other attributes and can be easily customized as a decision making tool for software project managers.