Metamodeling

Example of a Geologic map information meta-model, with four types of meta-objects, and their self-references.^[1]

Metamodeling, or meta-modeling in software engineering and systems engineering among other disciplines, is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems. As its name implies, this concept applies the notions of meta- and modeling.

Overview

"Metamodeling" is the construction of a collection of "concepts" (things, terms, etc.) within a certain domain. A model is an abstraction of phenomena in the real world; a metamodel is yet another abstraction, highlighting properties of the model itself. A model conforms to its metamodel in the way that a computer program conforms to the grammar of the programming language in which it is written.

Common uses for metamodels are:

• As a schema for semantic data that needs to be exchanged or stored
• As a language that supports a particular method or process
• As a language to express additional semantics of existing information
• As a mechanism to create tools that work with a broad class of models at run time
• As a schema for modeling and automatically exploring sentences of a language with applications to automated test synthesis

Because of the "meta" character of metamodeling, both the praxis and theory of metamodels are of relevance to metascience, metaphilosophy, metatheories and systemics, and meta-consciousness. The concept can be useful in mathematics, and has practical applications in computer science and computer engineering/software engineering, which are the main focus of this article.

Metamodeling topics

Meta-Object Facility Illustration.

An US FEA Business reference model.^[2]

Example of an ontology.

A DoDAF metamodel.

Definition

In software engineering, the use of models is more and more recommended. This should be contrasted with the classical code-based development techniques. A model always conforms to a unique metamodel. One of the currently most active branch of Model Driven Engineering is the approach named model-driven architecture proposed by OMG. This approach is based on the utilization of a language to write metamodels called the Meta Object Facility or MOF. Typical metamodels proposed by OMG are UML, SysML, SPEM or CWM. ISO has also published the standard metamodel ISO/IEC 24744.^[3] All the languages presented below could be defined as MOF metamodels.

Metadata modeling

Metadata modeling is a type of metamodeling used in software engineering and systems engineering for the analysis and construction of models applicable and useful to some predefined class of problems. (see also: data modeling).

Model transformations

One important move in Model Driven Engineering is the systematic use of Model Transformation Languages. The OMG has proposed a standard for this called QVT for Queries/Views/Transformations. QVT is based on the Meta-Object Facility or MOF. Among many other Model Transformation Languages (MTLs), some examples of implementations of this standard are AndroMDA, VIATRA, Tefkat, MT, ManyDesigns Portofino.

Relationship to ontologies

Meta-models are closely related to ontologies. Both are often used to describe and analyze the relations between concepts^[4]

• Ontologies: express something meaningful within a specified universe or domain of discourse by utilizing a grammar for using vocabulary. The grammar specifies what it means to be a well-formed statement, assertion, query, etc. (formal constraints) on how terms in the ontology’s controlled vocabulary can be used together.^[5]
• Meta-modeling: can be considered as an explicit description (constructs and rules) of how a domain-specific model is built. In particular, this comprises a formalized specification of the domain-specific notations. Typically, metamodels are – and always should follow - a strict rule set.^[6] “A valid metamodel is an ontology, but not all ontologies are modeled explicitly as metamodels”.^[5]

Types of metamodels

For software engineering, several types of models (and their corresponding modeling activities) can be distinguished:

• Metadata modeling (MetaData Model)
• Meta-Process Modeling (MetaProcess Model)
• Executable Meta-Modeling (combining both of the above and much more, as in the general purpose tool Kermeta)
• Model Transformation Language (see below)

Zoos of metamodels

A library of similar metamodels has been called a Zoo of metamodels.^[7] There are several types of meta-model zoos.^[8] Some are expressed in ECore. Others are written in MOF 1.4 - XMI 1.2. The metamodels expressed in UML-XMI1.2 may be uploaded in Poseidon for UML, a UML CASE tool.

See also

• Business reference model
• Data governance
• Model Driven Engineering (MDE)
• Model-driven architecture (MDA)
• Domain Specific Language (DSL)
• Domain-Specific Modeling (DSM)
• Generic Eclipse Modeling System (GEMS)
• Kermeta (Kernel Meta-modeling)
• MetaCASE tool (tools for creating tools for Computer-aided software engineering tools)
• Method engineering
• MODAF Meta-Model
• MOF Queries/Views/Transformations (MOF QVT)
• Object Process Methodology
• Requirements analysis
• Surrogate model
• Transformation language
• VIATRA (Viatra)
• XML transformation language (XML TL)

References

Further reading

Wikimedia Commons has media related to Metamodeling.

• J. Bezivin, On the Unification Power of Models, in: Software and System Modeling (SoSym) 4(2):171—188.
• Booch, G., Rumbaugh, J., Jacobson, I. (1999), The Unified Modeling Language User Guide, Redwood City, CA: Addison Wesley Longman Publishing Co., Inc.
• J. P. van Gigch, System Design Modeling and Metamodeling, Plenum Press, New York, 1991
• Gopi Bulusu, hamara.in, 2004 Model Driven Transformation
• P. C. Smolik, Mambo Metamodeling Environment, Doctoral Thesis, Brno University of Technology. 2006
• Gonzalez-Perez, C. and B. Henderson-Sellers, 2008. Metamodelling for Software Engineering. Chichester (UK): Wiley. 210 p. ISBN 978-0-470-03036-3
• M.A. Jeusfeld, M. Jarke, and J. Mylopoulos, 2009. Metamodeling for Method Engineering. Cambridge (USA): The MIT Press. 424 p. ISBN 978-0-262-10108-0
• G. Caplat Modèles & Métamodèles, 2008 - ISBN 978-2-88074-749-7 (French)
• Fill, H.-G., Karagiannis, D., 2013. On the Conceptualisation of Modelling Methods Using the ADOxx Meta Modelling Platform, Enterprise Modelling and Information Systems Architectures, Vol. 8, Issue 1, 4-25.