Приказ основних података о документу

dc.creatorBarišić, Ankica
dc.creatorRuchkin, Ivan
dc.creatorSavić, Dušan
dc.creatorMohamed, Mustafa Abshir
dc.creatorAl-Ali, Rima
dc.creatorLi, Letitia W.
dc.creatorMkaouar, Hana
dc.creatorEslampanah, Raheleh
dc.creatorChallenger, Moharram
dc.creatorBlouin, Dominique
dc.creatorNikiforova, Oksana
dc.creatorCicchetti, Antonio
dc.date.accessioned2023-05-12T11:43:36Z
dc.date.available2023-05-12T11:43:36Z
dc.date.issued2022
dc.identifier.issn0164-1212
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/2362
dc.description.abstractCyber-Physical Systems (CPS) are heterogeneous and require cross-domain expertise to model. The complexity of these systems leads to questions about prevalent modeling approaches, their ability to integrate heterogeneous models, and their relevance to the application domains and stakeholders. The methodology for Multi-Paradigm Modeling (MPM) of CPS is not yet fully established and standardized, and researchers apply existing methods for modeling of complex systems and introducing their own. No systematic review has been previously performed to create an overview of the field on the methods used for MPM of CPS. In this paper, we present a systematic mapping study that determines the models, formalisms, and development processes used over the last decade. Additionally, to determine the knowledge necessary for developing CPS, our review studied the background of actors involved in modeling and authors of surveyed studies. The results of the survey show a tendency to reuse multiple existing formalisms and their associated paradigms, in addition to a tendency towards applying transformations between models. These findings suggest that MPM is becoming a essential approach to model CPS, and highlight the importance of future integration of models, standardization of development process and education.en
dc.publisherElsevier Science Inc, New York
dc.relationMPM4CPS IC1404 COST action
dc.relationNOVA LINCS
dc.relationFCT Portuguese national funds [UID/CEC/04516/2019]
dc.relationKnowledge Foundation in Sweden [20170133, 20190021]
dc.rightsopenAccess
dc.sourceJournal of Systems and Software
dc.subjectSystematic reviewen
dc.subjectModeling paradigmen
dc.subjectModelen
dc.subjectFormalismen
dc.subjectDevelopment processen
dc.subjectCyber-Physical Systemen
dc.titleMulti-paradigm modeling for cyber-physical systems: A systematic mapping reviewen
dc.typearticle
dc.rights.licenseARR
dc.citation.other183: -
dc.citation.rankM21~
dc.citation.volume183
dc.identifier.doi10.1016/j.jss.2021.111081
dc.identifier.fulltexthttp://prototype2.rcub.bg.ac.rs/bitstream/id/869/2358.pdf
dc.identifier.rcubconv_2574
dc.identifier.scopus2-s2.0-85117711462
dc.identifier.wos000714524600005
dc.type.versionpublishedVersion


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