A Framework for Descriptive Models Quality Assessment

Numerous systems engineering projects use descriptive models structured by standard metamodels such as SysML, UML, or NAF. Model-based systems engineering is now so well established in the world of systems engineering that there is no longer questions about the usefulness of such modeling activities. However, it is still difficult to determine what is the current level of quality and how far the models are from the expected project objectives. This paper proposes a framework which reduces the pain of elaborating a quality process aside of the main systems engineering tasks so that a project manager can quickly be aware of the modeling progress statuses. The proposed framework is based on a modeling method which is itself modeled so that to allow a predefined set of modeling artefacts self-learning the quality aspects, and generating the appropriate dashboards at different levels of details.