Synthesis of Attributed Feature Models From Product Descriptions

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 : Many real-world product lines are only represented as non-hierarchical collections of distinct products, described by their configuration values. As the manual preparation of feature models is a tedious and labour-intensive activity, some techniques have been proposed to automatically generate boolean feature models from product descriptions. However , none of these techniques is capable of synthesizing feature attributes and relations among attributes, despite the huge relevance of attributes for documenting software product lines. In this paper, we introduce for the first time an algorithmic and parametrizable approach for computing a legal and appropriate hierarchy of features, including feature groups, typed feature attributes, domain values and relations among these attributes. We have performed an empirical evaluation by using both randomized configuration matrices and real-world examples. The initial results of our evaluation show that our approach can scale up to matrices containing 2,000 attributed features, and 200,000 distinct configurations in a couple of minutes.
Type de document :
Communication dans un congrès
International Software Product Line Conference, Jul 2015, Nashville, United States
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Contributeur : Guillaume Bécan <>
Soumis le : mercredi 22 juillet 2015 - 10:33:56
Dernière modification le : vendredi 16 novembre 2018 - 01:40:17
Document(s) archivé(s) le : vendredi 23 octobre 2015 - 10:12:41


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  • HAL Id : hal-01178454, version 1


Guillaume Bécan, Razieh Behjati, Arnaud Gotlieb, Mathieu Acher. Synthesis of Attributed Feature Models From Product Descriptions. International Software Product Line Conference, Jul 2015, Nashville, United States. 〈hal-01178454〉



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