Multi-paradigm modeling for cyber-physical systems: A systematic mapping review
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2022
Аутори
Barišić, Ankica![](/themes/Miragerfos/images/orcid.png)
Ruchkin, Ivan
![](/themes/Miragerfos/images/orcid.png)
Savić, Dušan
![](/themes/Miragerfos/images/orcid.png)
Mohamed, Mustafa Abshir
Al-Ali, Rima
Li, Letitia W.
Mkaouar, Hana
Eslampanah, Raheleh
Challenger, Moharram
![](/themes/Miragerfos/images/orcid.png)
Blouin, Dominique
Nikiforova, Oksana
Cicchetti, Antonio
Чланак у часопису (Објављена верзија)
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Метаподаци
Приказ свих података о документуАпстракт
Cyber-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 existin...g 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.
Кључне речи:
Systematic review / Modeling paradigm / Model / Formalism / Development process / Cyber-Physical SystemИзвор:
Journal of Systems and Software, 2022, 183Издавач:
- Elsevier Science Inc, New York
Финансирање / пројекти:
- MPM4CPS IC1404 COST action
- NOVA LINCS
- FCT Portuguese national funds [UID/CEC/04516/2019]
- Knowledge Foundation in Sweden [20170133, 20190021]
DOI: 10.1016/j.jss.2021.111081
ISSN: 0164-1212
WoS: 000714524600005
Scopus: 2-s2.0-85117711462
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Barišić, Ankica AU - Ruchkin, Ivan AU - Savić, Dušan AU - Mohamed, Mustafa Abshir AU - Al-Ali, Rima AU - Li, Letitia W. AU - Mkaouar, Hana AU - Eslampanah, Raheleh AU - Challenger, Moharram AU - Blouin, Dominique AU - Nikiforova, Oksana AU - Cicchetti, Antonio PY - 2022 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2362 AB - Cyber-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. PB - Elsevier Science Inc, New York T2 - Journal of Systems and Software T1 - Multi-paradigm modeling for cyber-physical systems: A systematic mapping review VL - 183 DO - 10.1016/j.jss.2021.111081 UR - conv_2574 ER -
@article{ author = "Barišić, Ankica and Ruchkin, Ivan and Savić, Dušan and Mohamed, Mustafa Abshir and Al-Ali, Rima and Li, Letitia W. and Mkaouar, Hana and Eslampanah, Raheleh and Challenger, Moharram and Blouin, Dominique and Nikiforova, Oksana and Cicchetti, Antonio", year = "2022", abstract = "Cyber-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.", publisher = "Elsevier Science Inc, New York", journal = "Journal of Systems and Software", title = "Multi-paradigm modeling for cyber-physical systems: A systematic mapping review", volume = "183", doi = "10.1016/j.jss.2021.111081", url = "conv_2574" }
Barišić, A., Ruchkin, I., Savić, D., Mohamed, M. A., Al-Ali, R., Li, L. W., Mkaouar, H., Eslampanah, R., Challenger, M., Blouin, D., Nikiforova, O.,& Cicchetti, A.. (2022). Multi-paradigm modeling for cyber-physical systems: A systematic mapping review. in Journal of Systems and Software Elsevier Science Inc, New York., 183. https://doi.org/10.1016/j.jss.2021.111081 conv_2574
Barišić A, Ruchkin I, Savić D, Mohamed MA, Al-Ali R, Li LW, Mkaouar H, Eslampanah R, Challenger M, Blouin D, Nikiforova O, Cicchetti A. Multi-paradigm modeling for cyber-physical systems: A systematic mapping review. in Journal of Systems and Software. 2022;183. doi:10.1016/j.jss.2021.111081 conv_2574 .
Barišić, Ankica, Ruchkin, Ivan, Savić, Dušan, Mohamed, Mustafa Abshir, Al-Ali, Rima, Li, Letitia W., Mkaouar, Hana, Eslampanah, Raheleh, Challenger, Moharram, Blouin, Dominique, Nikiforova, Oksana, Cicchetti, Antonio, "Multi-paradigm modeling for cyber-physical systems: A systematic mapping review" in Journal of Systems and Software, 183 (2022), https://doi.org/10.1016/j.jss.2021.111081 ., conv_2574 .