DevOps for MBSE: Continuous Quality Assessment (for Non-Deterministic System Behaviour)
Non-deterministic system behaviour challenges MBSE, particularly where deterministic testing and classical verification no longer provide sufficient evidence about model quality. This presentation argues that non-determinism must not only be modelled, but continuously assessed throughout the engineering lifecycle.
We present a DevOps for MBSE approach, that introduces triggered, configurable model pipelines for continuous quality feedback, and illustrate how this is used in industry on a daily basis to support governance. These pipelines combine automated validations, lifecycle-state monitoring, trend analysis, dashboarding with lightweight manual reviews. Such reviews can be placed where deterministic tests fall short and expert judgement is required.
The framework increases transparency about the current model state, supports earlier detection of quality issues, and enables more resilient engineering decisions for systems that include non-determinism.
Sebastian Voss is CEO and co-founder of qwitto. Since 10 years qwitto support successfully MBSE adoption and implementation in various domains. Previously, Sebastian was a lead researcher at a research institute under the auspices of the Technical University Munich (TUM), where was heading the Model-based Systems Engineering (MBSE) department and the Embedded Systems Software Engineering Institute (ESSEI). He has set up the Center of Systems Engineering (CASE). Since 2020 he is also professor at the University of Applied Science in Aachen heading the chair of (Advanced Systems) Engineering.
A physicist by training, he began his career at the Large Hadron Collider (LHC), developing deep expertise in complex, high-performance systems. He joined Siemens Healthineers, where he has spent over 15 years shaping advanced medical technologies. As a system architect, he drives the design of innovative medical systems, combining rigorous engineering with a strong scientific foundation. He specializes in Model-Based Systems Engineering (MBSE), with a focus on continuous integration and “models of models” to manage complexity, enhance traceability, and ensure scalable, cross-disciplinary system architectures.