Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
The Unified Modeling Language user guide
The Unified Modeling Language user guide
The DoD high level architecture: an update
Proceedings of the 30th conference on Winter simulation
Observations on the complexity of composable simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
The Art of the Metaobject Protocol
The Art of the Metaobject Protocol
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Reflective specification: applying a reflective language to formal specification
IWSSD '93 Proceedings of the 7th international workshop on Software specification and design
Model-Based Data Engineering for Web Services
IEEE Internet Computing
| Hi-index | 0.00 |
Engineering of large and complex simulation systems is becoming more reliant on the reuse of existing simulation models. While existing technical standards facilitate syntactic and technical interoperability among disparate simulation models, there is still lack of formal methods that enable sound reasoning about the conceptual congruity of models that are selected for composition. This paper suggests a graph-theoretic approach to measure the extent of conceptual congruity of models within a new context. The premise of the approach is based on having contextualized models that provide introspective access to their metamodels. A metamodel associated with a reusable model entails a conceptualization of the domain in which it is originally designed to be situated in. The metamodels are used to instantiate a metagraph and graph distance metrics are used to measure the alignment of metamodels in the context of the new application domain. The paper also presents a strategy for packaging and distributing such metamodels with implemented models to facilitate practical application of the proposed method.