Merging Models with the Epsilon Merging Language (EML)

Kolovos, Dimitrios S.; Paige, Richard F.; Polack, Fiona

doi:10.1007/11880240_16

Cited by 119 publications

(86 citation statements)

References 8 publications

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“…GME (generic modeling environment) [16][17][18][19][20] is a generic model environment that can be made using a specific paradigm modeling (modeling languages dedicated to the fields). A modeling paradigm formalizes a metamodel defining the syntax and semantics.…”

Section: Gme: Generic Modeling Environmentmentioning

confidence: 99%

“…Weaving and transformation AMW: ATLAS Model Weaver [8][9][10][11] Establishing references EMF: Eclipse Modeling Framework [8,13] Fusion EML: Epsilon Merging Language [8,14,15] Establishing references GME Generic Modeling Environment [17][18][19][20]32] Establishing and execution mappings XMF eXecutable Metamodelling Facility [8,21] Mapping, annotation ORM: Object-Relational Mapping [22] Fusion Kompose [22][23][24][25] Weaving Smart Adapters [22,23,26,27] Weaving and transformation GeKo (Generic Komposer) [22,28] set of mappings between sets of models, different sets of interpretations should lead to the definition of different model composition techniques [22].…”

Section: Mechanism Of Composition Approachesmentioning

confidence: 99%

See 1 more Smart Citation

A Comparative Study of Structural Composition Methods and Techniques

Marzouki¹,

Lakhrissi²,

Mohajir³

2016

CTA

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Abstract:In software engineering as in all other engineering fields, the product to be built is divided into sub-parts that are independently constructed and subsequently assembled. This procedure reduces the complexity and improves the reuse of the developed products. MDE (model-driven engineering) is a recent initiative that adopts this approach. In this context, model composition has become an important artifact in the MDE domain that allows constructing and composing an efficient assembly process. This paper will attempt to identify the strength and the drawbacks of the existing composition model paradigms, and determine the various parameters that govern their behavior.

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Section: Gme: Generic Modeling Environmentmentioning

confidence: 99%

Section: Mechanism Of Composition Approachesmentioning

confidence: 99%

A Comparative Study of Structural Composition Methods and Techniques

Marzouki¹,

Lakhrissi²,

Mohajir³

2016

CTA

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“…The Epsilon Validation Language (EVL) [73] allows validation of models while the Epsilon Merging Language (EML) [78] supports merging of multiple models. One of the benefits of Epsilon is that it is a technology agnostic model manage- …”

Section: Epsilonmentioning

confidence: 99%

Type Inference in Flexible Model-Driven Engineering

Zolotas

Matragkas

Devlin

et al. 2015

Lecture Notes in Computer Science

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Model-driven Engineering (MDE) is an approach to software development that promises increased productivity and product quality. Domain models that conform to metamodels, both of which are the core artefacts in MDE approaches, are manipulated to perform different development processes using specific MDE tools.However, domain experts, who have detailed domain knowledge, typically lack the technical expertise to transfer this knowledge using MDE tools. Flexible or bottom-up Model-driven Engineering is an emerging approach to domain and systems modelling that tackles this challenge by promoting the use of simple drawing tools to increase the involvement of domain experts in MDE processes. In this approach, no metamodel is created upfront but instead the process starts with the definition of example models that will be used to infer a draft metamodel. When complete knowledge of the domain is acquired, a final metamodel is devised and a transition to traditional MDE approaches is possible. However, the lack of a metamodel that encodes the semantics of conforming models and of tools that impose these semantics bears some drawbacks, among others that of having models with nodes that are unintentionally left untyped. In this thesis we propose the use of approaches that use algorithms from three different research areas, that of classification algorithms, constraint programming and graph similarity to help with the type inference of such untyped nodes. We perform an evaluation of the proposed approaches in a number of randomly generated example models from 10 different domains with results suggesting that the approaches could be used for type inference both in an automatic or a semi-automatic style. 3For my parents Despoina and Michalis

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“…for language evolution [61,62], which are developed within the Eclipse Modeling Framework may be reused. Additionally several other (textual or graphical) concrete syn-taxes may be developed, e.g.…”

Section: Analysis Of the Approachmentioning

confidence: 99%

An ontology-based framework for domain-specific modeling

Walter¹,

Parreiras²,

Staab³

2012

Softw Syst Model

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Domain-specific languages (DSLs) provide abstractions and notations for better understanding and easier modeling of applications in a special domain. Current shortcomings of DSLs include learning curve and formal semantics. This paper reports on a framework that allows the use of ontology technologies to describe and reason on DSLs. The formal semantics of OWL together with reasoning services allows for addressing constraint definition, progressive evaluation, suggestions, and debugging. The approach integrates existing metamodels and concrete syntaxes in a new technical space. A scenario in which domain models for network devices are created illustrates the framework.

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Merging Models with the Epsilon Merging Language (EML)

Cited by 119 publications

References 8 publications

A Comparative Study of Structural Composition Methods and Techniques

A Comparative Study of Structural Composition Methods and Techniques

Type Inference in Flexible Model-Driven Engineering

An ontology-based framework for domain-specific modeling

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