Pragmatic verification and validation of industrial executable SysML models

In recent years, Model-Based Systems Engineering (MBSE) practices have been applied in various industries to design, simulate and verify complex systems. The verification and validation (V&V) of such systems engineering models are crucial to develop high-quality systems. However, this is a challenging problem due to the complexity of the models and semantic differences in how different tools interpret the models, which can undermine the validity of the obtained results if they go undiscovered. To address these issues, we propose (i) a subset of the SysML language for which the practical semantic integrity of tools can be achieved and (ii) a cloud-based V&V framework for this subset, lifting verification to an industrial scale. We demonstrate the feasibility of our approach on an industrial-scale model from the aerospace domain and summarize the lessons learned during transitioning formal verification tools to an industrial context.

Automated summary

In recent years, Model-Based Systems Engineering (MBSE) practices have been applied in various industries to design, simulate and verify complex systems. The verification and validation (V&V) of such systems engineering models are crucial to develop high-quality systems. To address the challenges posed by the complexity of models and semantic differences in interpretation, we propose a subset of the SysML language and a cloud-based V&V framework to achieve practical semantic integrity and scalability in industrial settings. We demonstrate the feasibility of our approach on an industrial-scale model from the aerospace domain and summarize the lessons learned during the transition of formal verification tools to an industrial context.