Model Migration with Epsilon Flock

Rose, Louis M.; Kolovos, Dimitrios S.; Paige, Richard F.; Polack, Fiona

doi:10.1007/978-3-642-13688-7_13

Cited by 91 publications

(66 citation statements)

References 12 publications

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“…In the general case, semanticspreserving transformations must be developed manually, based on the understanding of the semantic intent of the change. Several dedicated languages for metamodel/model co-evolution have been recently developed for specifying semantic-preserving transformations [5,14,25,31]. Most related to our approach is [36], where the composition of atomic differences to composite differences is discussed for Ecore-based metamodels.…”

Section: Related Workmentioning

confidence: 99%

Viewpoint Co-evolution through Coarse-Grained Changes and Coupled Transformations

Wimmer

Moreno

Vallecillo

2012

Objects, Models, Components, Patterns

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Abstract. Multi-viewpoint modeling is an effective technique to deal with the ever-growing complexity of large-scale systems. The evolution of multi-viewpoint system specifications is currently accomplished in terms of fine-grained atomic changes. Apart from being a very low-level and cumbersome strategy, it is also quite unnatural to system modelers, who think of model evolution in terms of coarse-grained high-level changes. In order to bridge this gap, we propose an approach to formally express and manipulate viewpoint changes in a high-level fashion, by structuring atomic changes into coarse-grained composite ones. These can also be used to formally define reconciling operations to adapt dependent views, using coupled transformations. We introduce a modeling language based on graph transformations and Maude for expressing both, the coarse-grained changes and the coupled transformations that propagate them to reestablish global consistency. We demonstrate the applicability of the approach by its application in the context of RM-ODP.

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Section: Related Workmentioning

confidence: 99%

Viewpoint Co-evolution through Coarse-Grained Changes and Coupled Transformations

Wimmer

Moreno

Vallecillo

2012

Objects, Models, Components, Patterns

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“…However, for the latter whenever a metamodel evolves, corresponding migrations have to be operated since existing model instances could not be well-formed any more [SK04]. This problem is known as co-evolution or co-adaptation, and a relevant number of research works propose solutions ranging from manual co-adaptation [RKPP10,SK04], to semi-automatic migration through re-use of recurring strategies [HBJ08,Wac07,DIP11] and automatic co-evolution directly generated from the manipulations made to the metamodel [CDP09,DV07].…”

Section: Metamodel Versioningmentioning

confidence: 99%

A Solution for Concurrent Versioning of Metamodels and Models.

Cicchetti¹,

Ciccozzi²,

Leveque³

2012

JOT

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Model-Driven Engineering has been widely recognised as a powerful paradigm for shifting the focus of software development from coding to modelling in order to cope with the rising complexity of modern systems. Models become the main artefacts in the development process and therefore undergo evolutions performed in different ways until the final implementation is produced. Moreover, modelling languages are expected to evolve too and such evolutions have to be taken into account when dealing with model versioning. Since consistency between models and related metamodels is one of the pillars on which model-driven engineering relies, evolution of models and metamodels cannot be considered as independent events in a model versioning system. This article exploits model comparison and merging mechanisms to provide a solution to the issues related to model versioning when considering metamodel and model manipulations as concurrent and even misaligned. A scenario-based description of the challenges arising from versioning of models is given and a running example is exploited to demonstrate the proposed solutions.

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“…These transformation languages try to reduce the effort for building a migration strategy by providing mechanisms that are specific for model migration. For instance, the approaches described in [18,21,23] extend an exogenous transformation language to automatically copy model elements whose metamodel definition has not changed. While manual specification fosters correctness of the model migration, it also requires the most effort to build a migration strategy.…”

Section: Related Workmentioning

confidence: 99%

“…The first example is an evolution of a Petri net metamodel, previously used in [1,7,21,25] to discuss co-evolution and model migration.…”

Section: Co-evolution Examplesmentioning

confidence: 99%

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A Comparison of Model Migration Tools

Rose

Herrmannsdoerfer

Williams

et al. 2010

Model Driven Engineering Languages and Systems

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Abstract. Modelling languages and thus their metamodels are subject to change. When a metamodel evolves, existing models may no longer conform to the evolved metamodel. To avoid rebuilding them from scratch, existing models must be migrated to conform to the evolved metamodel. Manually migrating existing models is tedious and errorprone. To alleviate this, several tools have been proposed to build a migration strategy that automates the migration of existing models. Little is known about the advantages and disadvantages of the tools in different situations. In this paper, we thus compare a representative sample of migration tools -AML, COPE, Ecore2Ecore and Epsilon Flock -using common migration examples. The criteria used in the comparison aim to support users in selecting the most appropriate tool for their situation.

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Model Migration with Epsilon Flock

Cited by 91 publications

References 12 publications

Viewpoint Co-evolution through Coarse-Grained Changes and Coupled Transformations

Viewpoint Co-evolution through Coarse-Grained Changes and Coupled Transformations

A Solution for Concurrent Versioning of Metamodels and Models.

A Comparison of Model Migration Tools

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