A methodology for deriving Conceptual Data Models from Systems Engineering artefacts

Abstract

This paper presents a novel methodology for deriving Conceptual Data Models in the scope of Model-based Systems Engineering. Based on an assessment of currently employed methodologies, substantial limitations of the state of the art are identified. Consequently, a new methodology, overcoming present shortcomings, is elaborated, containing detailed and prescriptive guidelines for deriving conceptual data models used for representing engineering data in a multi-disciplinary design process. For highlighting the applicability and benefits of the approach, the derivation of a semantically strong conceptual data model in the context of Model-based Space Systems Engineering is presented as a case study.