modellevel

Modellevel is a term used in modeling and simulation to denote the abstraction or granularity at which a model describes a system. It serves as a labeling construct to indicate how detailed or general a given model is, guiding how it should be used and interpreted within a workflow.

It serves to organize model artifacts within toolchains and repositories, allowing different models to be processed with appropriate assumptions, validation rules, and solvers. By tagging models with a modellevel, teams can apply the correct transformations, checks, or simulations without conflating representations that operate at different fidelities.

Common values include conceptual, logical, physical, and implementation or runtime. Some domains use additional levels such as abstract, domain, platform, or test. The choice of level often reflects intended audience, fidelity requirements, and the stage of development.

Modellevel is related to but distinct from model type or domain; it often interacts with concepts like level of detail, meta-model, and model hierarchy. It provides a governance dimension that complements structure and semantics in a modeling framework.

In practice, modellevel tags help teams manage model evolution, enable selective reuse, and guide transformations like refinement or code generation. They support clearer provenance and consistency across model repositories and toolchains.

Because there is no universal standard, definitions of modellevel vary across tools; governance is needed to maintain consistency. See also abstraction, level of detail, meta-model, and model-driven engineering.