FCA for Software Product Lines Representation: Mixing Configuration and Feature Relationships in a Unique Canonical Representation

Jessie Carbonnel 1 Karell Bertet 2 Marianne Huchard 1 Clémentine Nebut 1
1 MAREL - Models And Reuse Engineering, Languages
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 L3I - Laboratoire Informatique, Image et Interaction
Abstract : Software Product Line Engineering (SPLE) is a software engineering domain in which families of similar softwares (called products) are built reusing common artifacts. This requires to analyze common-alities and variabilities, for example to detect which parts are common to several products and which parts differ from one product to another. Such software characteristics that may be present or not in a product are called features. Several approaches in the literature exist to organize features and product configurations in terms of features. In this paper we review those approaches and show that concept lattices are a relevant structure to organize features and product configurations. We also address scaling issues related to formal context computation in the domain of SPLE.
Keywords : Software Product Lines Feature Model Formal Concept Analysis Concept Lattice
Type de document :
Communication dans un congrès
Marianne Huchard; Sergei Kuznetsov. CLA: Concept Lattices and their Applications, Jul 2016, Moscow, Russia. CEUR Workshop Proceedings, 13th International Conference on Concept Lattices and Their Applications, pp.109-122, 2016, 〈http://ceur-ws.org/Vol-1624/〉
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Jessie Carbonnel, Karell Bertet, Marianne Huchard, Clémentine Nebut. FCA for Software Product Lines Representation: Mixing Configuration and Feature Relationships in a Unique Canonical Representation. Marianne Huchard; Sergei Kuznetsov. CLA: Concept Lattices and their Applications, Jul 2016, Moscow, Russia. CEUR Workshop Proceedings, 13th International Conference on Concept Lattices and Their Applications, pp.109-122, 2016, 〈http://ceur-ws.org/Vol-1624/〉. 〈lirmm-01354971〉

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