Synthesis of Attributed Feature Models From Product Descriptions: Foundations

Guillaume Bécan 1 Razieh Behjati 2 Arnaud Gotlieb 2 Mathieu Acher 1
1 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
Abstract : Feature modeling is a widely used formalism to characterize a set of products (also called configurations). As a manual elaboration is a long and arduous task, numerous techniques have been proposed to reverse engineer feature models from various kinds of artefacts. But none of them synthesize feature attributes (or constraints over attributes) despite the practical relevance of attributes for documenting the different values across a range of products. In this report, we develop an algorithm for synthesizing attributed feature models given a set of product descriptions. We present sound, complete, and parametrizable techniques for computing all possible hierarchies, feature groups, placements of feature attributes, domain values, and constraints. We perform a complexity analysis w.r.t. number of features, attributes, configurations, and domain size. We also evaluate the scalability of our synthesis procedure using randomized configuration matrices. This report is a first step that aims to describe the foundations for synthesizing attributed feature models.
Type de document :
[Research Report] RR-8680, Inria Rennes; INRIA. 2015
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Contributeur : Mathieu Acher <>
Soumis le : lundi 16 février 2015 - 09:01:45
Dernière modification le : jeudi 15 novembre 2018 - 11:58:48
Document(s) archivé(s) le : jeudi 28 mai 2015 - 14:55:33


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  • HAL Id : hal-01116663, version 1
  • ARXIV : 1502.04645


Guillaume Bécan, Razieh Behjati, Arnaud Gotlieb, Mathieu Acher. Synthesis of Attributed Feature Models From Product Descriptions: Foundations. [Research Report] RR-8680, Inria Rennes; INRIA. 2015. 〈hal-01116663〉



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