System of systems cyber effects simulation ontology

Ormrod, David; Turnbull, Benjamin; O'Sullivan, Kent

doi:10.1109/wsc.2015.7408358

Cited by 6 publications

(4 citation statements)

References 39 publications

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“…The authors (Benali et al, 2014) have proposed an approach to build an SoS conceptual model and a foundational ontology adapted from DOLCE to depict SoS interoperability context (Yang et al, 2019). The authors of (Ormrod et al, 2015) have proposed an SoS cyber effects ontology that outlines the requirements for a series of ontologies necessary to model the SoS effects of cyber-attacks. • Architecture Description Language: this approach (Seghiri et al, 2018) suggests a Maudebased formal and executable model where communications and relationships architecture is well defined.…”

Section: Related Workmentioning

confidence: 99%

A Unified Architecture Framework Supporting SoS's Development

Dridi

Benzadri

Belala

2023

International Journal of Organizational and Collective Intelligence

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The engineering of systems-of-systems (SoSs) is a critical issue that requires the definition of multiple viewpoints that are dedicated to various concerns of stakeholders. To address this challenge, this article contributes to the definition of a reusable framework handling the design of SoSs' architectures by adopting a conceptual model of architecture framework ‘ISO42010.' The proposed framework extends this standard by using well-defined software development processes to identify and implement the different architectural viewpoints. Besides, these processes are used in a way to take advantage of managing a set of diagrams given by a UML profile, and then, to verify that the parts of the architecture form a consistent whole. In this context, the authors define four main viewpoints dedicated to the various stakeholders and which are essential to allow them to implement different SoSs. To guide the coordination of the development tasks, this framework provides again a development processes model that allows the stakeholders to explicitly design the viewpoint they want using an SoS-UML profile.

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Section: Related Workmentioning

confidence: 99%

A Unified Architecture Framework Supporting SoS's Development

Dridi

Benzadri

Belala

2023

International Journal of Organizational and Collective Intelligence

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“…Langford and Langford (2017) argue that ontologies can be applied to determine taxonomy that illuminates the normative constructs of SOS. Ormrod et al (2015) believe that efforts to model and trace the propagation of cyber effects across multiple distinct domains in an SOS require a specific ontology. Benali et al (2014) propose an approach to building an SOS interoperability conceptual model and a foundational ontology adapted from DOLCE to depict the SOS interoperability context.…”

Section: C4 Sosmentioning

confidence: 99%

Ontology Learning for Systems Engineering Body of Knowledge

Yang

Cormican

2021

IEEE Trans. Ind. Inf.

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“…Ont-4. The authors of [38] have proposed a SoS cyber effects ontology that outlines the requirements for a series of ontologies necessary to model the SoS effects of cyber-attacks.…”

Section: Ontology-based Approachesmentioning

confidence: 99%

System of Systems Modelling: Recent work Review and a Path Forward

Dridi

Benzadri

Belala

2020

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)

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Systems-of-Systems (SoSs) stand out from monolithic systems, because of their composed nature, their large scale, their decentralized control mechanism, their evolving environments, and their large number of stakeholders. Due to the varied methodologies and domains of applications in existing literature, there does not exist a single unified consensus for processes involved in System-of-Systems Engineering (SoSE). The purpose of this article is to provide a cursory description of the SoS basic concepts on the one hand, and then to analyse the main challenges in its development. Finally, we report the literature review showing various techniques and methods that have been modified from the conventional systems engineering to better fit the needs of SoSs design. We hope the findings of this work may encourage and inform the community researchers of the creation of a more holistic and unified engineering process that is tailored for the demands of these large-scale systems. Thus, the complexity of the SoS development lends itself nicely to a Model-Based Systems Engineering (MBSE) which provides communication and verification that transcends the levels of development. MBSE uses a model or set of models to document and communicate from the system requirements level down to the software implementation level.

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System of systems cyber effects simulation ontology

Cited by 6 publications

References 39 publications

A Unified Architecture Framework Supporting SoS's Development

A Unified Architecture Framework Supporting SoS's Development

Ontology Learning for Systems Engineering Body of Knowledge

System of Systems Modelling: Recent work Review and a Path Forward

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