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2023
Conference Paper
Titel
Open Dependability Exchange Metamodel: A Format to Exchange Safety Information
Abstract
Safety-relevant systems are becoming ever more complex, and they typically contain components from different manufacturers which have been integrated along the supply chain. Safety assurance is highly challenging in this context, with model-based approaches being a potential remedy. To unlock the potential of such approaches, a data format is needed to represent the safety information in multi-tier supply chains in a tool-independent way. This paper presents the Open Dependability Exchange (ODE) (https://github.com/Digital-Dependability-Identities/ODE) metamodel developed in the H2020 DEIS Project, which captures the essence and relation between the safety-related artifacts created during the entire development lifecycle. The different parts of the ODE provide coverage for architectural modeling, hazard and risk analysis, failure logic modeling (such as FME(D)A, FTA, and Markov Chains), and safety requirements. It enables the exchange of safety information between the different phases of the safety engineering lifecycle and the exchange across organizations in multi-tier supply chains. Moreover, the ODE enables the creation, integration, and validation of safety information using different vendors' tools regardless of the specific tool's methodology.
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