Model-Based Engineering of Collaborative Embedded Systems 2020
DOI: 10.1007/978-3-030-62136-0_8
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Dynamic Safety Certification for Collaborative Embedded Systems at Runtime

Abstract: Traditionally, integration and quality assurance of embedded systems are done entirely at development time. Moreover, since such systems often perform safety-critical tasks and work in human environments, safety analyses are performed and safety argumentations devised to convince certification authorities of their safety and to certify the systems if necessary. Collaborative embedded systems, however, are designed to integrate and collaborate with other systems dynamically at runtime. A complete prediction and… Show more

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Cited by 4 publications
(2 citation statements)
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“…By simulating the technical system and its environment and by including the effects of failures on humans, hazards can be identified, and the risks of the hazards can be assessed. An example from the manufacturing domain to dynamically perform risk assessment based on a 3D simulation of the system is presented in [15]. Automated Safety Analysis: With Component Fault Trees (CFTs), there is a model-and component-based methodology for fault tree analysis [10,6,9].…”
Section: Methods To Enable Continuous Delivery For Safety-critical Sy...mentioning
confidence: 99%
“…By simulating the technical system and its environment and by including the effects of failures on humans, hazards can be identified, and the risks of the hazards can be assessed. An example from the manufacturing domain to dynamically perform risk assessment based on a 3D simulation of the system is presented in [15]. Automated Safety Analysis: With Component Fault Trees (CFTs), there is a model-and component-based methodology for fault tree analysis [10,6,9].…”
Section: Methods To Enable Continuous Delivery For Safety-critical Sy...mentioning
confidence: 99%
“…Dynamic assurance cases [3,5] were described as one way to enable proactive assurance management. Dynamic safety assurance have been applied in multiple industrial contexts such as autonomous systems [1,8], software-intensive systems [14], and embedded systems [9]. These approaches on theoretical or conceptual approaches by incorporating components to feed (back), improve or empower the assurance cases, e.g., machine learning components to analyse the operation of real systems.…”
Section: Related Workmentioning
confidence: 99%