Skip to Main content Skip to Navigation
Conference papers

Automating Variability Model Inference for Component-Based Language Implementations

Abstract : Recently, domain-specific language development has become again a topic of interest, as a means to help designing solutions to domain-specific problems. Componentized language frameworks, coupled with variability modeling, have the potential to bring language development to the masses, by simplifying the configuration of a new language from an existing set of reusable components. However, designing variability models for this purpose requires not only a good understanding of these frameworks and the way components interact, but also an adequate familiarity with the problem domain. In this paper we propose an approach to automatically infer a relevant variability model from a collection of already implemented language components, given a structured, but general representation of the domain. We describe techniques to assist users in achieving a better understanding of the relationships between language components, and find out which languages can be derived from them with respect to the given domain.
Document type :
Conference papers
Complete list of metadata

Cited literature [35 references]  Display  Hide  Download
Contributor : Benoit Combemale Connect in order to contact the contributor
Submitted on : Tuesday, July 15, 2014 - 1:12:25 PM
Last modification on : Wednesday, December 8, 2021 - 9:22:03 AM
Long-term archiving on: : Friday, November 21, 2014 - 5:21:14 PM


Files produced by the author(s)


  • HAL Id : hal-01023864, version 1


Edoardo Vacchi, Walter Cazzola, Benoit Combemale, Mathieu Acher. Automating Variability Model Inference for Component-Based Language Implementations. SPLC'14 - 18th International Software Product Line Conference, Sep 2014, Florence, Italy. ⟨hal-01023864⟩



Les métriques sont temporairement indisponibles