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Role-based approach as support for safety analysis of collaborative systems
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-5192-8058
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0757-822X
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0904-3712
2021 (English)In: Proceedings - 2021 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing and International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2021, 2021, p. 92-98Conference paper, Published paper (Refereed)
Abstract [en]

Modern collaborative and dynamic systems, such as System of Systems (SoS), can be considered as a set of interacting entities where the interactions are seen as the core activity fo rthese systems. The study of interactions is of importance inorder to discover emergent and inter dependent properties that impact the overall system’s behaviour. We introduce a role-based approach together with a taxonomy of roles for safety as a means to deal with emergent behaviours of high-collaborative systems that may impact the safety of the whole system. The aim ofour role-based approach is to discover the interactions that maybe harmful for the system and use them as starting point for common safety analysis techniques.

Place, publisher, year, edition, pages
2021. p. 92-98
Keywords [en]
role, role-based approach, hazard, hazard identification, safety analysis, complex system, collaborative systems, System of Systems (SoS), emergence, interdependence, safety requirements elicitation
National Category
Engineering and Technology Computer Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-56321DOI: 10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00028ISI: 000942753000136Scopus ID: 2-s2.0-85127579466ISBN: 9781665421744 (print)OAI: oai:DiVA.org:mdh-56321DiVA, id: diva2:1607716
Conference
IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2021)
Projects
SerendipityAvailable from: 2021-11-02 Created: 2021-11-02 Last updated: 2023-05-10Bibliographically approved

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Provenzano, LucianaHänninen, KajLundqvist, Kristina

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