Localized model transformations for building large-scale transformations

Etien, Anne; Muller, Alexis; Legrand, Thomas; Paige, Richard F.

doi:10.1007/s10270-013-0379-8

Cited by 16 publications

(10 citation statements)

References 32 publications

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“…Other applied techniques include the implementation of adapters (20%), early modularization (11%), and higherorder transformations (8%). Other specific techniques were also mentioned, but with a representativity lower than 5%, such as cloning [69], subtyping [8,21,76], localized transformations [16] and annotations [10].…”

Section: A Need From the Communitymentioning

confidence: 99%

“…Another mostly uncovered feature is supporting multiple occurrences (i.e., reusing several instances of a MT). This would need mechanisms for composing and synchronizing the multiple MT occurrences, in line with "localized transformations" [16] or "flexible instantiation policies" [53]. More generally, automated mechanisms for composing a MT out of reused partial MTs are not exploited by the analysed approaches.…”

Section: Comparing Mt Reuse Approachesmentioning

confidence: 99%

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Comparing and classifying model transformation reuse approaches across metamodels

et al. 2019

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Model transformations are essential elements of Model-driven Engineering (MDE) solutions, as they enable the automatic manipulation of models. MDE promotes the creation of domain-specific metamodels, but without proper reuse mechanisms, model transformations need to be developed from scratch for each new metamodel. In this paper, our goal is to understand whether transformation reuse across metamodels is needed by the community, evaluate its current state, identify practical needs and propose promising lines for further research. For this purpose, we first report on a survey to understand the reuse approaches used currently in practice and the needs of the community. Then, we propose a classification of

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Section: A Need From the Communitymentioning

confidence: 99%

Section: Comparing Mt Reuse Approachesmentioning

confidence: 99%

Comparing and classifying model transformation reuse approaches across metamodels

et al. 2019

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show abstract

“…Another uncovered feature is supporting multiple occurrences (i.e., reusing several instances of a MT). This would need mechanisms for composing and synchronizing the multiple MT occurrences, in line with "localized transformations" [25] or "flexible instantiation policies" [26]. More generally, automated mechanisms for composing a MT out of reused partial MTs are not exploited by the analyzed approaches.…”

Section: Discussionmentioning

confidence: 99%

Model Transformation Reuse Across Metamodels

Bruel

Combemale

Guerra

et al. 2018

Theory and Practice of Model Transformation

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Model transformations (MTs) are essential elements of model-driven engineering (MDE) solutions. MDE promotes the creation of domain-specific metamodels, but without proper reuse mechanisms, MTs need to be developed from scratch for each new metamodel. In this paper, we classify reuse approaches for MTs across different metamodels and compare a sample of specific approaches-model types, concepts, a-posteriori typing, multilevel modeling, and design patterns for MTswith the help of a feature model developed for this purpose, as well as a common example. We discuss strengths and weaknesses of each approach, provide a reading grid used to compare their features, and identify gaps in current reuse approaches.

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“…GASPARD supports the engineers for formal verification, simulation and hardware synthesis. Etien et al [42] presents a model-driven transformation approach to design large-scale parallel systems with large languages by decomposing the complex transformations into smaller transformations within GASPARD framework. They use the separation of concerns principle and define a notation of localized transformations.…”

Section: Related Workmentioning

confidence: 99%

ParDSL: a domain-specific language framework for supporting deployment of parallel algorithms

Tekinerdoğan

Arkin

2018

Softw Syst Model

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An important challenge in parallel computing is the mapping of parallel algorithms to parallel computing platforms. This requires several activities such as the analysis of the parallel algorithm, the definition of the logical configuration of the platform and the implementation and deployment of the algorithm to the computing platform. However, in current parallel computing approaches very often only conceptual and idiosyncratic models are used which fall short in supporting the communication and analysis of the design decisions. In this article, we present ParDSL, a domain-specific language framework for providing explicit models to support the activities for mapping parallel algorithms to parallel computing platforms. The language framework includes four coherent set of domain-specific languages each of which focuses on an activity of the mapping process. We use the domain-specific languages for modeling the design as well as for generating the required platformspecific models and the code of the selected parallel algorithm. In addition to the languages, a library is defined to support systematic reuse. We discuss the overall architecture of the language framework, the separate DSLs, the corresponding model transformations and the toolset. The framework is illustrated for four different parallel computing algorithms.

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Localized model transformations for building large-scale transformations

Cited by 16 publications

References 32 publications

Comparing and classifying model transformation reuse approaches across metamodels

Comparing and classifying model transformation reuse approaches across metamodels

Model Transformation Reuse Across Metamodels

ParDSL: a domain-specific language framework for supporting deployment of parallel algorithms

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