Model-based software development promises to increase productivity by offering modeling languages tailored to a problem domain. Such modeling languages are often defined by a metamodel. In consequence of changing requirements and technological progress, these modeling languages and thus their metamodels are subject to change. Manually migrating models to a new version of their metamodel is tedi...

This paper describes the Configurator which provides ability to create graphical tools for different domain-specific languages (DSLs) quickly and convieniently. To define different DSLs by the Configurator, a TDA graphical tool building platform and its main component – a Tool Definition Metamodel, is used. By using this technology, a specific graphical tool is built as an instance of the Tool ...

Modeling languages and thus their metamodels are subject to change. When a metamodel is evolved, existing models may no longer conform to it. Manual migration of these models in response to metamodel evolution is tedious and error-prone. To significantly automate model migration, operator-based approaches provide reusable coupled operators that encapsulate both metamodel evolution and model mig...

Disaster Management (DM) is a multidisciplinary endeavour and a very difficult knowledge domain to model. It is a diffused area of knowledge that is continuously evolving and informally represented. Metamodel is the output artefact of metamodelling, a software engineering approach, which makes statements about what can be expressed in the valid models of the knowledge domain. It is an appropria...

In the definition of domain-specific languages a MOF metamodel is used to define the main types of its abstract syntax, and OCL invariants are used to add semantic constraints. The semantics of a metamodel definition can be given as a model type whose values are well-formed models. A model is said to conform to its metamodel when it is a value of the corresponding model type. However, when OCL ...

This paper deals with the construction of a metamodel (i.e. a simplified mathematical model) for a stochastic computer code (also called stochastic numerical model or stochastic simulator), where stochastic means that the code maps the realization of a random variable. The goal is to get, for a given model input, the main information about the output probability distribution by using this metam...

Wildlife population models have been criticized for their narrow disciplinary perspective when analyzing complexity in coupled biological - physical - human systems. We describe a "metamodel" approach to species risk assessment when diverse threats act at different spatiotemporal scales, interact in non-linear ways, and are addressed by distinct disciplines. A metamodel links discrete, individu...

Metamodelling is a practical yet rigorous formalism for modelling language definition with a metamodel being its pivotal engineering artifact. A multitude of domain-specific modelling languages (DSML) are engineered to cover various modelling domains. Metamodels of such languages evolve over time by introducing changes and extensions and are further customised to suite project-specific needs. W...

Technological and business changes influence the evolution of software systems. When this happens, the software artifacts may need to be adapted to the changes. This need is rapidly increasing in systems built using the Model-Driven Engineering (MDE) paradigm. An MDE system basically consists of metamodels, terminal models, and transformations. The evolution of a metamodel may render its relate...

Meta modeling is an effective approach to implement interoperability among distributed and heterogeneous information sources on Web. MMFI (Framework for Metamodel Interoperability) is a set of meta objects and Metamodel constructs to be used in the development a metamodel in actual implementation of information registry and repository. As a scalable solution to requirements of semantic interope...