An Ontologic-Aware Feature Modeling Environment

Guillaume Bécan 1 Sana Ben Nasr 1 Benoit Baudry 1
1 TRISKELL - Reliable and efficient component based software engineering
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Feature Models (FMs) are a popular formalism for modeling and reasoning about the configurations of a software product line. The manual construction or management of an FM has proven to be time-consuming and error-prone. In this paper, we introduce a feature modeling environment, built on top of the FAMILIAR language, that assists users in synthesizing FMs. Important automated operations (reverse engineering, refactoring, diff, merging, slicing) are now equipped with ontological capabilities while they guarantee the synthesis of FMs conformant to a given set of constraints. Users can interactively choose a hierarchy through ranking lists and clusters that are automatically computed by different heuristics. The tooling support opens avenues for reverse engineering and maintaining highly configurable systems.
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Conference papers
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https://hal.inria.fr/hal-00915662
Contributor : Guillaume Bécan <>
Submitted on : Monday, December 9, 2013 - 11:01:02 AM
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Guillaume Bécan, Sana Ben Nasr, Benoit Baudry. An Ontologic-Aware Feature Modeling Environment. Journées lignes de produits - 2013, Nov 2013, Paris, France. ⟨hal-00915662⟩

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