Design Ontology Supporting Model-Based Systems Engineering Formalisms

Model-based systems engineering (MBSE) provides an important capability for managing the complexities of system development. MBSE empowers formalism architectures supporting model-based requirement elicitation, specification, design, development, testing, fielding, etc. However, modeling languages and techniques are heterogeneous, even within same enterprise system, which leads to difficulties data interoperability. The discrepancies among structures language syntaxes make information exchange models more difficult, resulting in considerable deviations when connecting flows across enterprise. Therefore, this article presents ontology based upon graphs , xmlns:xlink="http://www.w3.org/1999/xlink">objects xmlns:xlink="http://www.w3.org/1999/xlink">points xmlns:xlink="http://www.w3.org/1999/xlink">properties xmlns:xlink="http://www.w3.org/1999/xlink">roles xmlns:xlink="http://www.w3.org/1999/xlink">relationships with xmlns:xlink="http://www.w3.org/1999/xlink">extensions (GOPPRRE), providing metamodels that support various formalisms lifecycle stages. In particular, knowledge graph developed unified model representations further implement ontological integration on GOPPRRE throughout entire lifecycle. applicability is verified using quantitative qualitative approaches. Moreover, ontologies used create a domain-specific tool, xmlns:xlink="http://www.w3.org/1999/xlink">MetaGraph evaluating its availability. results demonstrate proposed supports formal descriptive logic