Formal support of process chain networks using model-driven engineering and Petri nets

dc.affiliation.dptoDepartamento de Ingeniería Informática, Universidad Autónoma de Madrid
dc.affiliation.dptoInformática y Estadística, Universidad Rey Juan Carlos
dc.affiliation.grupoinvMISO, Universidad Autónoma de Madrid; Kybele, Universidad Rey Juan Carlos
dc.contributor.authorGómez Martínez, Elena
dc.contributor.authorPérez Blanco, Francisco Javier
dc.contributor.authorLara Jaramillo, Juan de
dc.contributor.authorVara Mesa, Juan Manuel
dc.contributor.authorMarcos, Esperanza
dc.contributor.funderMINECO (TIN2014-52129-R); Comunidad de Madrid (S2013/ICE-3006 y P2018/TCS-4314)
dc.date.accessioned2026-02-17T08:10:55Z
dc.date.issued2019-04-08
dc.description.abstractBusiness process modelling is an essential activity for competitive enterprises, as it enables documenting, analysing, improving and automating their core processes. Several notations have been proposed, including BPMN, service blueprints or Process Chain Networks (PCNs). These are all graphical, intuitive notations, which are useful for discussion and documentation, but tool support and a formal semantics are required for process analysis. However, tool support is lacking and formal semantics is not available for some commonly used notations among business people, like PCNs. To alleviate this situation, we present a modelling tool for PCNs, and a formal semantics based on Generalized Stochastic Petri nets, which permits analysis. We have realized our approach using Model-driven Engineering, and show its realization within INNoVaServ, a modeling environment for the design of business models and service process operations.
dc.identifier.citationElena Gómez-Martínez, Francisco Pérez-Blanco, Juan de Lara, Juan Manuel Vara, and Esperanza Marcos. 2019. Formal support of process chain networks using model-driven engineering and Petri nets. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (SAC '19). Association for Computing Machinery, New York, NY, USA, 98–100. https://doi.org/10.1145/3297280.3299752
dc.identifier.doihttps://doi.org/10.1145/3297280.3299752
dc.identifier.issn9781450359337
dc.identifier.publicationfirstpage98
dc.identifier.publicationlastpage100
dc.identifier.publicationtitleSAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
dc.identifier.urihttps://hdl.handle.net/10115/169497
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.eventdate2019-04-08
dc.relation.eventplaceLimasol, Chipre
dc.relation.eventtitleACM/SIGAPP Symposium on Applied Computing (SAC 2019)
dc.rights.accessRightsinfo:eu-repo/semantics/closedAccess
dc.subjectBusiness process model
dc.subjectProcess chain network
dc.subjectModel-driven Engineering
dc.subjectPetri nets
dc.subjectModel transformations
dc.subjectATL
dc.titleFormal support of process chain networks using model-driven engineering and Petri nets
dc.typeBook chapter

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