A Metamodel-based Classification of Variability Modeling Approaches

Istoan Paul; Klein Jacques; Gilles Perrouin; Jézéquel Jean-Marc

A Metamodel-based Classification of Variability Modeling Approaches

Istoan Paul, Klein Jacques, Gilles Perrouin, Jézéquel Jean-Marc

Faculty of Computer Science

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

Abstract

Software Product Line Engineering (SPLE) is an emerging paradigm taking momentum that proposes to address flexibility and shorter time-to-market by maximizing software reuse. The key characteristic of SPLE is the effective modelling and management of variability, for which a number of Variability Modeling (VM) techniques have been developed during the last two decades. Therefore, understanding their commonalities and differences is important for selecting the most suitable technique. In this paper, we propose a metamodel-based classification of VM techniques gathered through a survey of relevant literature.

Original language	English
Title of host publication	VARiability for You (VARY) Workshop, co-located with MoDELS 2011
Editors	Oystein Haugen, Krzysztof Czarnecki, Jean Marc Jézéquel, Birger Moller-Pedersen, Andrzej Wasowski
Publication status	Published - 2011

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@inproceedings{04055a6fdb814880ba96bd7626dd6087,

title = "A Metamodel-based Classification of Variability Modeling Approaches",

abstract = "Software Product Line Engineering (SPLE) is an emerging paradigm taking momentum that proposes to address flexibility and shorter time-to-market by maximizing software reuse. The key characteristic of SPLE is the effective modelling and management of variability, for which a number of Variability Modeling (VM) techniques have been developed during the last two decades. Therefore, understanding their commonalities and differences is important for selecting the most suitable technique. In this paper, we propose a metamodel-based classification of VM techniques gathered through a survey of relevant literature.",

author = "Istoan Paul and Klein Jacques and Gilles Perrouin and J{\'e}z{\'e}quel Jean-Marc",

note = "Publication editors : Oystein Haugen, Krzysztof Czarnecki, Jean-Marc J{\'e}z{\'e}quel, Birger Moller-Pedersen, Andrzej Wasowski",

year = "2011",

language = "English",

editor = "Oystein Haugen and Krzysztof Czarnecki and J{\'e}z{\'e}quel, {Jean Marc} and Birger Moller-Pedersen and Andrzej Wasowski",

booktitle = "VARiability for You (VARY) Workshop, co-located with MoDELS 2011",

}

A Metamodel-based Classification of Variability Modeling Approaches. / Paul, Istoan; Jacques, Klein; Perrouin, Gilles et al.
VARiability for You (VARY) Workshop, co-located with MoDELS 2011. ed. / Oystein Haugen; Krzysztof Czarnecki; Jean Marc Jézéquel; Birger Moller-Pedersen; Andrzej Wasowski. 2011.

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Metamodel-based Classification of Variability Modeling Approaches

AU - Paul, Istoan

AU - Jacques, Klein

AU - Perrouin, Gilles

AU - Jean-Marc, Jézéquel

N1 - Publication editors : Oystein Haugen, Krzysztof Czarnecki, Jean-Marc Jézéquel, Birger Moller-Pedersen, Andrzej Wasowski

PY - 2011

Y1 - 2011

N2 - Software Product Line Engineering (SPLE) is an emerging paradigm taking momentum that proposes to address flexibility and shorter time-to-market by maximizing software reuse. The key characteristic of SPLE is the effective modelling and management of variability, for which a number of Variability Modeling (VM) techniques have been developed during the last two decades. Therefore, understanding their commonalities and differences is important for selecting the most suitable technique. In this paper, we propose a metamodel-based classification of VM techniques gathered through a survey of relevant literature.

AB - Software Product Line Engineering (SPLE) is an emerging paradigm taking momentum that proposes to address flexibility and shorter time-to-market by maximizing software reuse. The key characteristic of SPLE is the effective modelling and management of variability, for which a number of Variability Modeling (VM) techniques have been developed during the last two decades. Therefore, understanding their commonalities and differences is important for selecting the most suitable technique. In this paper, we propose a metamodel-based classification of VM techniques gathered through a survey of relevant literature.

M3 - Conference contribution

BT - VARiability for You (VARY) Workshop, co-located with MoDELS 2011

A2 - Haugen, Oystein

A2 - Czarnecki, Krzysztof

A2 - Jézéquel, Jean Marc

A2 - Moller-Pedersen, Birger

A2 - Wasowski, Andrzej

ER -

A Metamodel-based Classification of Variability Modeling Approaches

Abstract

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