Code generation from UML models with semantic variation points

Franck Chauvel 1 Jean-Marc Jézéquel 2
2 TRISKELL - Reliable and efficient component based software engineering
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : UML semantic variation points provide intentional degrees of freedom for the interpretation of the metamodel semantics. The interest of semantic variation points is that UML now becomes a family of languages sharing lot of commonalities and some variabilities that one can customize for a given application domain. In this paper, we propose to reify the various semantic variation points of UML 2.0 statecharts into models of their own to avoid hardcoding the semantic choices in the tools. We do the same for various implementation choices. Then, along the line of the OMG's Model Driven Architecture, these semantic and implementation models are processed along with a source UML model (that can be seen as a PIM) to provide a target UML model (a PSM) where all semantic and implementation choice are made explicit. This target model can in turn serve as a basis for a consistent use of code generation, simulation, model-checking or test generation tools.
Document type :
Conference papers
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/hal-00795105
Contributor : Jean-Marc Jézéquel <>
Submitted on : Wednesday, February 27, 2013 - 12:13:46 PM
Last modification on : Friday, November 16, 2018 - 1:23:35 AM
Long-term archiving on : Sunday, April 2, 2017 - 6:05:01 AM

File

Chauvel05a.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00795105, version 1

Citation

Franck Chauvel, Jean-Marc Jézéquel. Code generation from UML models with semantic variation points. Proceedings of MODELS/UML'2005, Jul 2005, Montego Bay, Jamaica. ⟨hal-00795105⟩

Share

Metrics

Record views

502

Files downloads

469