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oai:riuma.uma.es:10630/303342026-02-03T11:29:00Zcom_10630_2254col_10630_37953

Burgueño-Caballero, Lola Muñoz, Paula Clarisó, Robert Cabot, Jordi Gérard, Sébastien Vallecillo-Moreno, Antonio Jesús 2024-02-09T16:46:48Z 2024-02-09T16:46:48Z 2023 ACM Transactions on Software Engineering and MethodologyVolume 32Issue 2Article No.: 31pp 1–34 https://doi.org/10.1145/3542947 https://hdl.handle.net/10630/30334 10.1145/3542947 There are numerous domains in which information systems need to deal with uncertain information. These uncertainties may originate from different reasons such as vagueness, imprecision, incompleteness, or inconsistencies, and in many cases, they cannot be neglected. In this article, we are interested in representing and processing uncertain information in domain models, considering the stakeholders’ beliefs (opinions). We show how to associate beliefs to model elements and how to propagate and operate with their associated uncertainty so that domain experts can individually reason about their models enriched with their personal opinions. In addition, we address the challenge of combining the opinions of different domain experts on the same model elements, with the goal to come up with informed collective decisions. We provide different strategies and a methodology to optimally merge individual opinions. eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Software Toma de decisión Dealing with Belief Uncertainty in Domain Models journal article