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dc.contributor.authorFernández-Bertoa, Manuel 
dc.contributor.authorBurgueño, Loli
dc.contributor.authorMoreno, Nathalie
dc.contributor.authorVallecillo-Moreno, Antonio Jesus 
dc.date.accessioned2020-06-01T08:54:47Z
dc.date.available2020-06-01T08:54:47Z
dc.date.created2019
dc.date.issued2020-06-01
dc.identifier.urihttps://hdl.handle.net/10630/19571
dc.descriptionPreprint publicado en la revista Software & System Modeling :Bertoa, M.F., Burgueño, L., Moreno, N., Vallecillo, A. "Incorporating measurement uncertainty into OCL/UML primitive datatypes." Softw Syst Model (2019). https://doi.org/10.1007/s10270-019-00741-0)en_US
dc.description.abstractThe correct representation of the relevant properties of a system is an essential requirement for the effective use and wide adoption of model-based practices in industry. Uncertainty is one of the inherent properties of any measurement or estimation that is obtained in any physical setting; as such, it must be considered when modeling software systems that deal with real data. Although a few modeling languages enable the representation of measurement uncertainty, these aspects are not normally incorporated into their type systems. Therefore, operating with uncertain values and propagating their uncertainty become cumbersome processes, which hinder their realization in real environments. This paper proposes an extension of OCL/UML primitive datatypes that enables the representation of the uncertainty that comes from physical measurements or user estimates into the models, together with an algebra of operations that are defined for the values of these types.en_US
dc.description.sponsorshipTIN2014-52034-R, TIN2016-75944-R and PGC2018-094905-B-I0en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectIncertidumbre (Teoría de la información)en_US
dc.subject.otherMeasurement Uncertaintyen_US
dc.subject.otherUMLen_US
dc.subject.otherOCLen_US
dc.subject.otherPrimitive Datatypesen_US
dc.titleIncorporating Measurement Uncertainty into OCL/UML Primitive Datatypesen_US
dc.typeinfo:eu-repo/semantics/preprinten_US
dc.identifier.doi10.1007/s10270-019-00741-0


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