Génération de Transformations de Modèles : une approche basée sur les treillis de Galois
type: Dataset
description: Model transformation is a fundamental operation for Model Driven Engineering. It can be performed manually or automatically, but in the later cas the developper needs to master all the meta-models involved. Model Transformation generation from examples allows to create a model transformation based on source models examples and target models exemples. Working at the model level allows the use of concrete syntaxes defined for the meta-models so there is no more need for the developper to perfectly know them.We propose a method to generate model transformations from examples using Relational Concept Analysis (RCA) which provides a set of transformation rules ordered under the structure of a lattice. RCA is a classification method based on matching links between models to extract rules. Those matching are a common feature between the model transformation generation from examples methods, so we propose a method based on an ontology matching approach to generate them.
landing page: https://theses.hal.science/tel-00916856
keyword: alignement-de-modeles
keyword: analyse-formelle-de-concepts
keyword: formal-concept-analysis
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-secomputer-science-cssoftware-engineering-csse
keyword: model-matching
keyword: model-transformation
keyword: theses
keyword: transformation-de-modeles
issued: 2026-05-07T20:54:36.987160
modified: 2026-05-07T20:54:36.987164
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Génération de Transformations de Modèles : une approche basée sur les treillis de Galois
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00916856
issued: 2026-05-07T20:54:36.990829
modified: 2026-05-07T20:54:36.976548