Skip to Main content Skip to Navigation

CO-OVM: A Practical Approach to Systems Engineering Variability Modeling

Abstract : Systems engineering has emerged as an approach that enables the successful realization of individual complex systems. In the automotive industry, product variety introduces a complexity that renders systems engineering models difficult to manage. Models Based Systems Engineering increases the level of abstraction and of detail to which systems are documented, thus providing the perfect context for reuse. Our purpose was to adopt "Product Line Engineering" techniques and enable efficient reuse of systems engineering assets, while satisfying process needs in an automotive industry context. The challenge is twofold: (i) to understand the needs of a mass production industry for which the reuse is usually focused towards physical parts and (ii) to satisfy the needs for capturing variability in complement to systems engineering models, by drawing on software product lines techniques. The main proposal of the thesis is a metamodel that extends OVM models in order to adopt and adapt variability modeling to MBSE needs. Furthermore, several subjects were developed around this theme of variability modeling in order to improve and complete the systems engineering framework: a derivation approach based on viewpoints and a set of recommendation-based heuristics for the configuration process. In collaboration with the CEA-LIST, a tool prototype was developed, which enabled us to refine, test and validate the contributions, in the industrial context at Renault.
Document type :
Complete list of metadata

Cited literature [204 references]  Display  Hide  Download
Contributor : Cosmin Dumitrescu Connect in order to contact the contributor
Submitted on : Saturday, June 28, 2014 - 6:33:14 AM
Last modification on : Tuesday, January 19, 2021 - 11:08:39 AM
Long-term archiving on: : Sunday, September 28, 2014 - 10:35:20 AM


  • HAL Id : tel-01011186, version 1



Cosmin Dumitrescu. CO-OVM: A Practical Approach to Systems Engineering Variability Modeling. Software Engineering [cs.SE]. Université Panthéon-Sorbonne - Paris I, 2014. English. ⟨tel-01011186⟩



Record views


Files downloads