Specialisation of Metamodels Using Metamodel Types

Berg, Henning; Møller-Pedersen, Birger

doi:10.1007/978-3-319-25156-1_6

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…This can end up creating massive metamodels that are difficult to navigate and apply during modeling. This notion of type has led to a number of works in metamodeling that apply formal semantics from programming languages, which attempt to manage this process [10][11][12]. Composition of type entities can then lead to new types without extending the base metamodel.…”

Section: Metamodels For System Designmentioning

confidence: 99%

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: Metamodels For System Designmentioning

confidence: 99%

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

et al. 2021

View full text Add to dashboard Cite

show abstract

“…This can end up creating massive metamodels that are difficult to navigate and apply during modeling. This notion of type has led to a number of works in metamodeling that apply formal semantics from programming languages, which attempt to manage this process [7][8][9]. Composition of type entities can then lead to new types without extending the base metamodel.…”

Section: Metamodels For System Designmentioning

confidence: 99%

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.

show abstract

Specialisation of Metamodels Using Metamodel Types

Cited by 2 publications

References 17 publications

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

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

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

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