Simulation-based Safety Assessment of High-level Reliability Models
This addresses the need for more efficient safety assessment in critical systems like automotive engineering, though it appears incremental by leveraging existing simulation advancements.
The paper tackles the problem of safety and reliability analysis in systems engineering by proposing a simulation-based approach that uses high-level engineering models instead of creating low-level formal models, demonstrating applicability in an automotive case study.
Systems engineering approaches use high-level models to capture the architecture and behavior of the system. However, when safety engineers conduct safety and reliability analysis, they have to create formal models, such as fault-trees, according to the behavior described by the high-level engineering models and environmental/fault assumptions. Instead of creating low-level analysis models, our approach builds on engineering models in safety analysis by exploiting the simulation capabilities of recent probabilistic programming and simulation advancements. Thus, it could be applied in accordance with standards and best practices for the analysis of a critical automotive system as part of an industrial collaboration, while leveraging high-level block diagrams and statechart models created by engineers. We demonstrate the applicability of our approach in a case study adapted from the automotive system from the collaboration.