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Then, we will present the development of the bridge and show an example in section 4. Lastly, we will give an overview of related works in section 5 and will present our conclusions in section 6. Although the implementation of such bridges can differ in technical terms, the conceptual approach is the same.

Essential EMF

A basic prerequisite to construct M3Bs is the existence of a metamodel hi- erarchy [8] consisting of three levels. At the lowest level M1-level are models which describe a software system. The structure of these models and the available concepts that can be instantiated in these models are defined by a metamodel at M2-level. Finally, the structure and the available concepts of the metamod- els are defined by a metametamodel at M3-level.

Models, metamodels and the metametamodel are connected by a linguistic instance relationship [8] that can also be denoted as conform-to relationship [9].

Based on the existence of such hierarchies, the basic step to build an M3B is the mapping between the metametamodels. The mapping consists of different mapping rules that specifiy the relation between semantically equivalent con- cepts. Semantic equivalence means, for instance, that the concepts at M3-level which express relationships at M2-level are mapped onto each other.

Further semantic concepts are described in [7] and include, for instance, object type, attribute type or data type. Based on the mapping specification, the transfor- mation of metamodels and models can be derived.

To create the transformations, it is necessary to know how the conform-to relationship is realised between each level. The M2-level transformation maps metamodels between hierarchies.

Pattern of M3-Level-Based Bridges metamodels in both hierarchies are isomorphic. Analogous to the M2-level trans- formation, the M1-level transformation enables the mapping of models. These models are also isomorphic.

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Figure 1 shows the concept of M3B. The use of the transformation taxonomy from Mens et al.

The M2-level transformation is horizontal and exogenous because the abstraction level stays the same and the metametamodels are different. The M1-level transformation is horizontal and endogenous because the abstraction level also stays the same and the metamodels are equal.

List of Eclipse Modeling Framework based software

In this section we present the data structure for Visio models at M1-level in order to describe the M1-level transformation later. A snippet of the model structure is shown in Figure 2.

Visio models are stored in documents that are usually files with a name. A document consists of pages. A page has also a name and is a canvas that contains shape elements. A shape is a model element and is an instance of a master from a stencil. Hence, a shape has a reference attribute to a master. A shape can have its own data properties defined only at M1- level and data properties defined in a master defined at M2-level.

A page can likewise have data properties. Data properties store values with a specified data type. Visio supports data types such as text, numbers, time, date, currency and list.

Furthermore, a shape can contain other shapes and can be connected with other shapes. Data Structure of Visio Models 3. The concrete and abstract syntax of a DSL can be defined by stencils. Anal- ogous to the analysis of the model structure, we have studied the object model and the user interface. The result of the analysis is a metametamodel that ex- plicates the language definition concepts. This metametamodel is here denoted as V3 model see Fig.

Contrary to other metametamodels, the V3 model is relatively simple.

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It con- sists of Stencil, Master, and Data Property. A stencil instance of Stencil is a set of masters instances of Master. A master describes a class of model elements in Visio denoted as shape — see previous subsection which can exist on their own. Masters can occur in two forms: a simple shape and a connection shape. In the context of a graph, a simple shape and a connection shape can be regarded as a node and an edge, respectively. A further metamodelling con- cept is to define properties instances of Data Property.

Each data property is assigned to a master, has a data type, and can have a default value.

In addition to defining an abstract syntax, Visio provides the description of a concrete syntax. Each master owns a graphical form which can be any kind of graphical construct e. Data properties can also be displayed as textual annotation.

Definition of Visio Stencils 3. Models describing EMF applications can be regarded as metamodels and in- stances of these metamodels can be regarded as models.

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All metamodels are instances of the metametamodel Ecore which is implemented in EMF. A simplified subset of Ecore is shown in Figure 4. A further metamodelling concept is the inheritance between EClasses.

Apart from considering the structure of Visio models see Section 3. The EObject interface provides different methods which enable the navigation in models and allow the query of metatype information. For instance, the EObject. Further, the EOb- ject. The M3-level mapping specifies an unidirectional mapping from V3 to Ecore. Using this mapping, we can derive the transformation rules at M2-level which export stencils to EMF.

Several transformation rules map different Visio concepts onto one Ecore concept.

To distinguish the different Visio concepts in Ecore, we introduce an abstract EMF metamodel that approximates the data model structure of Visio see Fig. All exported metamodel elements are inherited from a corresponding abstract metamodel element. For our purpose, the export of stencils is sufficient and we will therefore ignore the import of EMF metamodels to Visio. The consideration of this import would be possible on the condition that all metamodel elements are inherited from an abstract metamodel element.

Based on the M3-level mapping and M2-level transformation, we can derive the M1-level transformation which enables the export and re-import of Visio models. A similar concept in Ecore is the EPackage concept. EPackage can also group modelling concepts. Therefore, we map Stencil onto EPackage. The name of Stencil maps onto the name of EPackage and the association masters maps onto the reference eClassifiers from EPack- age.

The corresponding concept in Ecore is the EClass concept which can also define a set of model elements. Hence, we map Master onto EClass.

The stencil of a master is equivalent to the EPackage of the corresponding EClass. The name of Master maps onto the name of EClass. Thus, we map Data Property onto EAttribute. The name of a data property is equal to a name of an EAttribute. Visio supports data types such as: string, number, list, boolean, currency, date and time. The bridge consists mainly of three parts. Fundamentals of the Eclipse Modeling Framework ; Nov 8, EMF 2. Java Editor. Frank Budinsky The second Example: specific HTML editor preferences Tooling support within the Eclipse framework or Mastering Eclipse Modeling Framework ; Feb 28, EMF is part of Out of the.

Framework and Graphical Editor Framework, offering another way to build your own DSM is about generating full code directly from models, making software.

Model-Based Engineering and Code Generation Generate a graphical editor Graphical Modeling Framework, Sirius However, models MOF 2. Timo Kehrer, Cristoph Berane. Praktische Informatik Framework ProjectFundamentals of the Eclipse Modeling Framework ; Nov 8, In a next step, we want to describe the concept in a more formal way than presented in this paper. The result of the analysis is a metametamodel that ex- plicates the language definition concepts.

For example, if you develop an online flight booking application, you might model your domain model with objects like Person , Flight , Booking etc.

Finally, the structure and the available concepts of the metamod- els are defined by a metametamodel at M3-level. Please give the League a name and create two Players.

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