SAAM: a method for analyzing the properties of software architectures
ICSE '94 Proceedings of the 16th international conference on Software engineering
Reasonable properties for the ordering of fuzzy quantities (I)
Fuzzy Sets and Systems
Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing)
Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing)
Comparing alternatives for analyzing requirements trade-offs - In the absence of numerical data
Information and Software Technology
A more expressive softgoal conceptualization for quality requirements analysis
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
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During the design of a software system impreciseness can manifest itself in for instance the requirements or performance estimations. While it is common to eliminate the impreciseness by information that can not be justified, it is better to model the impreciseness since it is the most accurate description that is available at the current point in time. In this paper we present an approach, which allows the explicit specification of quality estimations and quality requirements including the imprecise nature. In this approach the impreciseness is modeled and addressed using representations from probability theory and fuzzy set theory.