The Changing Face of Model-Driven Engineering

Paige, Richard F.; Zolotas, Athanasios; Kolovos, Dimitrios S.

doi:10.1007/978-3-319-67425-4_7

Cited by 5 publications

(3 citation statements)

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“…The third benefit relates to addressing the need of assuring a number of "-ilities" within the metamodel, which must take a central role in the design of CPS where undesired behaviors can lead to accidents. These three benefits summarize the difference between the Vitech MBSE metamodel and the metamodel presented in this paper and ultimately our contributions to model federation, a significant challenge facing MBSE at large [61].…”

Section: Itemmentioning

confidence: 86%

An ontological metamodel for cyber-physical system safety, security, and resilience coengineering

et al. 2021

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Cyber-physical systems are complex systems that require the integration of diverse software, firmware, and hardware to be practical and useful. This increased complexity is impacting the management of models necessary for designing cyber-physical systems that are able to take into account a number of “-ilities”, such that they are safe and secure and ultimately resilient to disruption of service. We propose an ontological metamodel for system design that augments an already existing industry metamodel to capture the relationships between various model elements (requirements, interfaces, physical, and functional) and safety, security, and resilient considerations. Employing this metamodel leads to more cohesive and structured modeling efforts with an overall increase in scalability, usability, and unification of already existing models. In turn, this leads to a mission-oriented perspective in designing security defenses and resilience mechanisms to combat undesirable behaviors. We illustrate this metamodel in an open-source GraphQL implementation, which can interface with a number of modeling languages. We support our proposed metamodel with a detailed demonstration using an oil and gas pipeline model.

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Section: Itemmentioning

confidence: 86%

An ontological metamodel for cyber-physical system safety, security, and resilience coengineering

et al. 2021

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Section: Ontological Metamodel For Safety Security and Resiliencementioning

confidence: 86%

An Ontological Metamodel for Cyber-Physical System Safety, Security, and Resilience Coengineering

Bakirtzis,

Sherburne,

Adams

et al. 2020

Preprint

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System complexity has become ubiquitous in the design, assessment, and implementation of practical and useful cyber-physical systems. This increased complexity is impacting the management of models necessary for designing cyber-physical systems that are able to take into account a number of "-ilities", such that they are safe and secure and ultimately resilient to disruption of service. We propose an ontological metamodel for system design that augments an already existing industry metamodel to capture the relationships between various model elements and safety, security, and resilient considerations. Employing this metamodel leads to more cohesive and structured modeling efforts with an overall increase in scalability, usability, and unification of already existing models. In turn, this leads to a missionoriented perspective in designing security defenses and resilience mechanisms to combat undesirable behaviors. We illustrate this metamodel in an open-source GraphQL implementation, which can interface with a number of modeling languages. We support our proposed metamodel with a detailed demonstration using an oil and gas pipeline model.

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“…In particular, there exist no methodological considerations on how and when new or adaptations of existing modeling languages have to be introduced into a development process. (Paige et al 2017) present four steps of a quasi typical model-driven engineering process: to construct, or to select modeling languages, to build, persist, and manage models. This suggested process is limited to the handling of models and lacks concrete activities for problem decomposition and assessment, as well as DSL engineering and generator engineering.…”

Section: Related Workmentioning

confidence: 99%