Abstract. The extent of the cultural change needed to deploy MBSE should not be underestimated. Reshaping years of habits and practices is a gigantic challenge. For the last ten years, Thales has been strongly committed to make MBSE a reality and has successfully generalized the approach in all its business domains worldwide. This paper aims at sharing the Thales experience by explaining who the actors of this engineering transformation are and how systems engineers are accompanied in this change. Four years of intense on-the-field MBSE coaching in different engineering contexts result in a first collection of MBSE pitfalls and best practices from which emerges a parallel with Agile methods.

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This article presents a case study on applying model-based systems engineering (MBSE) methodologies under real-life conditions. We present how engineers tailored existing MBSE methods and tools to both address the complexity factors of nuclear power plants engineering, and to contribute to the comprehensiveness of the design and safety assessment. We also provide feedback on the application of MBSE approaches and their key benefits on projects' execution.

Model‐based systems engineering has developed significantly over the last few years, resulting in an increased usage of models in systems specification and architecture description. The question of the positioning of requirement engineering versus MBSE is a recurrent one. This paper describes one vision of this articulation where textual and model requirements actually complete each other. The results are improved contracts across engineering levels and more formalized verification and validation practices.

Using the Arcadia/Capella solution as an example, this paper explores why standard UML/SysML languages are not necessarily the unique or best alternatives for implementation of a model-based systems engineering solution (MBSE). The Thales experience is used to elicit MBSE language and tooling requirements. This paper analyzes various implementation alternatives and justifies structuring choices made regarding Capella to efficiently support the Arcadia engineering method.