2012
DOI: 10.1007/978-3-642-30476-7_13
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Translational Semantics of a Co-evolution Specific Language with the EMF Transformation Virtual Machine

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Cited by 33 publications
(30 citation statements)
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“…These are model transformations [54], OCL constraints [55], and meta-model hierarchies with more than two levels [56]. A taxonomy for the evolution of modeling languages discussing different scenarios including the evolution of meta-models and the migration of models and model transformations, can be found in [40].…”
Section: Meta-model Evolutionmentioning
confidence: 99%
“…These are model transformations [54], OCL constraints [55], and meta-model hierarchies with more than two levels [56]. A taxonomy for the evolution of modeling languages discussing different scenarios including the evolution of meta-models and the migration of models and model transformations, can be found in [40].…”
Section: Meta-model Evolutionmentioning
confidence: 99%
“…The formal framework of migration of the model which is independent of specific modeling approaches is presented by Mantz et al [14]. While Wagelaar et al [20] proposed a model transformation language for coupled evolution in metamodel. It shows executable semantics for EMFMigrate.…”
Section: (Ijacsa) International Journal Of Advanced Computer Science Andmentioning
confidence: 99%
“…The implementations range from totally ad-hoc approaches developed from scratch [5,9] to more systematic ones, e.g., based on compilation to a VM [34]. Most of the approaches try to reuse well-known syntaxes, such as OCL for queries or graph patterns for rewritings, but such syntaxes are normally encoded from scratch (notable exceptions are [26,34]). Likewise, the tool support quality varies (not shown in the table), but advanced features such as semantic autocompletion for textual editors and debugging support are missing since their implementation cost is high.…”
mentioning
confidence: 99%
“…Migration. These transformations deal with the update of artefacts upon meta-model changes [6,15,26,34]. The source and target meta-models, which correspond to the original and evolved meta-models, are not fixed a priori.…”
mentioning
confidence: 99%
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