Automatically Generating Behavioral Models of Adaptive Systems to Address Uncertainty
MoDELS '08 Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems
Dealing with uncertainty in early software architecture
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
GuideArch: guiding the exploration of architectural solution space under uncertainty
Proceedings of the 2013 International Conference on Software Engineering
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Delivering software systems that fulfill all requirements of the stakeholders is very difficult, if not at all impossible. We consider the problem of coping with imperfect information, like interpreting incomplete requirement specifications or vagueness in decisions, one of the main reasons that makes software design difficult. We define a method for tracing design decisions under imperfect information. To model and compare requirements with estimations, we present fuzzy and stochastic techniques. This approach offers adequate decision support that can deal with imperfect information during software design. The approach is illustrated by a real-world example, based on a storm surge barrier system.