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Next-Generation Model-based Variability Management: Languages and Tools

Mathieu Acher 1 Patrick Heymans 2, 3, 4 Philippe Collet 5 Philippe Lahire 5 
1 TRISKELL - Reliable and efficient component based software engineering
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 ADAM - Adaptive Distributed Applications and Middleware
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Université de Lille, Sciences et Technologies, PReCISE - PReCISE Research Centre in Information Systems Engineering
5 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Variability modelling and management is a key activity in a growing number of software engineering contexts, from software product lines to dynamic adaptive systems. Feature models are the defacto standard to formally represent and reason about commonality and variability of a software system. This tutorial aims at presenting next generation of feature modelling languages and tools, directly applicable to a wide range of model-based variability problems and application domains. Participants (being practitioners or academics, beginners or advanced) will learn the principles and foundations of languages and tool-supported techniques dedicated to the model-based management of variability.
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Submitted on : Wednesday, December 19, 2012 - 3:58:56 PM
Last modification on : Thursday, August 4, 2022 - 4:53:54 PM
Long-term archiving on: : Sunday, December 18, 2016 - 6:20:59 AM


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  • HAL Id : hal-00767170, version 1


Mathieu Acher, Patrick Heymans, Philippe Collet, Philippe Lahire. Next-Generation Model-based Variability Management: Languages and Tools. MODELS 2012 - 15th International Conference on Model Driven Engineering Languages & Systems, Sep 2012, Innsbruck, Austria. ⟨hal-00767170⟩



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