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Artículo

dc.creatorJiménez Ramírez, Andréses
dc.creatorBarba Rodríguez, Irenees
dc.creatorFernández Olivares, Juanes
dc.creatorValle Sevillano, Carmelo deles
dc.creatorWeber, Barbaraes
dc.date.accessioned2020-03-10T09:04:48Z
dc.date.available2020-03-10T09:04:48Z
dc.date.issued2018
dc.identifier.citationJiménez Ramírez, A., Barba Rodríguez, I., Fernández Olivares, J., Valle Sevillano, C.d. y Weber, B. (2018). Time prediction on multi-perspective declarative business processes. knowledge and Information systems, 57 (3), 655-684.
dc.identifier.issn0219-1377es
dc.identifier.urihttps://hdl.handle.net/11441/94068
dc.description.abstractProcess-aware information systems (PAISs) are increasingly used to provide flexible support for business processes. The support given through a PAIS is greatly enhanced when it is able to provide accurate time predictions which is typically a very challenging task. Predictions should be (1) multi-dimensional and (2) not based on a single process instance. Furthermore, the prediction system should be able to (3) adapt to changing circumstances and (4) deal with multi-perspective declarative languages (e.g., models which consider time, resource, data and control flow perspectives). In this work, a novel approach for generating time predictions considering the aforementioned characteristics is proposed. For this, first, a multi-perspective constraint-based language is used to model the scenario. Thereafter, an optimized enactment plan (representing a potential execution alternative) is generated from such a model considering the current execution state of the process instances. Finally, pre-dictions are performed by evaluating a desired function over this enactment plan. To evaluate the applicability of our approach in practical settings we apply it to a real process scenario. Despite the high complexity of the considered problems, results indicate that our approach produces a satisfactory number of good predictions in a reasonable time.es
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2016-76956-C3-2-Res
dc.description.sponsorshipMinisterio de Economía y Competitividad TIN2015-71618-Res
dc.formatapplication/pdfes
dc.format.extent29es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofknowledge and Information systems, 57 (3), 655-684.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFlexible process-aware information systemses
dc.subjectTime predictiones
dc.subjectConstraint Programminges
dc.subjectPlanning and schedulinges
dc.subjectConstraint-based process modelses
dc.subjectDecision support systemses
dc.titleTime prediction on multi-perspective declarative business processeses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDTIN2016-76956-C3-2-Res
dc.relation.projectIDTIN2015-71618-Res
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10115-018-1180-3es
dc.identifier.doi10.1007/s10115-018-1180-3es
dc.journaltitleknowledge and Information systemses
dc.publication.volumen57es
dc.publication.issue3es
dc.publication.initialPage655es
dc.publication.endPage684es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes

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