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Authors: Jessie Carbonnel 1 ; Marianne Huchard 1 ; André Miralles 2 and Clémentine Nebut 1

Affiliations: 1 CNRS and Université de Montpellier, France ; 2 IRSTEA, France

ISBN: 978-989-758-250-9

Keyword(s): Software Product Line, Feature Model, Feature Model Composition, Formal Concept Analysis.

Abstract: In the domain of software product lines, Feature Models (FM) play a central role in variability modeling, completed by configuration collections (from concrete software product lines), logical representations, constraint programming or conceptual structures, coming from the field of Formal Concept Analysis (FCA). The development of feature models may take several forms, including their synthesis from configuration collections or their design in several steps (by several teams or with different concerns). FM composition (merge) operators are part of that design activity as they assist their iterative building. In this paper, we describe an approach, based on two main merging semantics (intersection and union), which assists designers in merging several FMs. This approach benefits from the help of FCA to represent all the FMs with the same configuration set through a canonical form. We describe the implementation of our approach and present a set of concrete examples.

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Paper citation in several formats:
Carbonnel J., Huchard M., Miralles A. and Nebut C. (2017). Feature Model Composition Assisted by Formal Concept Analysis.In Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-250-9, pages 27-37. DOI: 10.5220/0006276600270037

@conference{enase17,
author={Jessie Carbonnel and Marianne Huchard and André Miralles and Clémentine Nebut},
title={Feature Model Composition Assisted by Formal Concept Analysis},
booktitle={Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2017},
pages={27-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006276600270037},
isbn={978-989-758-250-9},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - Feature Model Composition Assisted by Formal Concept Analysis
SN - 978-989-758-250-9
AU - Carbonnel J.
AU - Huchard M.
AU - Miralles A.
AU - Nebut C.
PY - 2017
SP - 27
EP - 37
DO - 10.5220/0006276600270037

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