A framework for the management of heterogeneous models in Systems Engineering

Abstract : Nowadays, complexity of systems frequently implies different engineering teams handling various descriptive models. Each team having a variety of expertise backgrounds, domain knowledge and modeling practices, the heterogeneity of the models themselves is a logical consequence. Therefore, even individually models are well managed; their diversity becomes a problem when engineers need to share their models to perform some overall validations. We defend the use of implicit knowledge as an important way of reducing the heterogeneity. This knowledge is implicit since it is in engineers' minds but has not been formalized in the models even though it is cardinal to understand them. After the analysis of current approaches concerning model integration and formalization of implicit knowledge we propose a methodology permitting to complete (annotate) the functional and design models of a system using domain shared knowledge formalized by means of ontologies. These annotations ease the model integration and the cross-model checks. Moreover, it is a non-intrusive approach since the source models are not directly modified. Thus, they are exported into a unified framework by expressing their meta-models in a shared modeling language that permits the syntactical homogenization. The approach has been formally validated by using the EXPRESS modeling language as shared language. Then, in order to validate it from an industrial point of view, three aircraft domain case studies have been implemented by applying the approach. This industrial aspect has been completed by the development of a prototype allowing engineers to work from a process perspective.
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Submitted on : Tuesday, October 9, 2012 - 2:58:15 PM
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David Simon-Zayas. A framework for the management of heterogeneous models in Systems Engineering. Autre. ISAE-ENSMA Ecole Nationale Supérieure de Mécanique et d'Aérotechique - Poitiers, 2012. Français. ⟨tel-00740161⟩

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