loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.119.105.155

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - ENASE; ISBN 978-989-758-250-9; ISSN 2184-4895, SciTePress, 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 - ENASE},
year={2017},
pages={27-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006276600270037},
isbn={978-989-758-250-9},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - Feature Model Composition Assisted by Formal Concept Analysis
SN - 978-989-758-250-9
IS - 2184-4895
AU - Carbonnel, J.
AU - Huchard, M.
AU - Miralles, A.
AU - Nebut, C.
PY - 2017
SP - 27
EP - 37
DO - 10.5220/0006276600270037
PB - SciTePress