Efficient synthesis of feature models

Steven She; Uwe Ryssel; Nele Andersen; Andrzej Wasowski; Krzysztof Czarnecki

Efficient synthesis of feature models

Steven She, Uwe Ryssel, Nele Andersen, Andrzej Wasowski, Krzysztof Czarnecki

Computer Science

Publikation: Artikel i tidsskrift og konference artikel i tidsskrift › Tidsskriftartikel › Forskning › peer review

Abstract

Variability modeling, and in particular feature modeling, is a central element of model-driven software product line architectures. Such architectures often emerge from legacy code, but, creating feature models from large, legacy systems is a long and arduous task. We describe three synthesis scenarios that can benefit from the algorithms in this paper.

Originalsprog	Engelsk
Tidsskrift	Information and Software Technology
Vol/bind	56
Udgave nummer	9
Sider (fra-til)	1122-1143
ISSN	0950-5849
Status	Udgivet - 2014

Emneord

Feature models
Variability models
Software product lines

Citationsformater

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title = "Efficient synthesis of feature models",

abstract = "Variability modeling, and in particular feature modeling, is a central element of model-driven software product line architectures. Such architectures often emerge from legacy code, but, creating feature models from large, legacy systems is a long and arduous task. We describe three synthesis scenarios that can benefit from the algorithms in this paper.",

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author = "Steven She and Uwe Ryssel and Nele Andersen and Andrzej Wasowski and Krzysztof Czarnecki",

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T1 - Efficient synthesis of feature models

AU - She, Steven

AU - Ryssel, Uwe

AU - Andersen, Nele

AU - Wasowski, Andrzej

AU - Czarnecki, Krzysztof

PY - 2014

Y1 - 2014

N2 - Variability modeling, and in particular feature modeling, is a central element of model-driven software product line architectures. Such architectures often emerge from legacy code, but, creating feature models from large, legacy systems is a long and arduous task. We describe three synthesis scenarios that can benefit from the algorithms in this paper.

AB - Variability modeling, and in particular feature modeling, is a central element of model-driven software product line architectures. Such architectures often emerge from legacy code, but, creating feature models from large, legacy systems is a long and arduous task. We describe three synthesis scenarios that can benefit from the algorithms in this paper.

KW - Feature models

KW - Variability models

KW - Software product lines

KW - Feature models

KW - Variability models

KW - Software product lines

M3 - Journal article

SN - 0950-5849

VL - 56

SP - 1122

EP - 1143

JO - Information and Software Technology

JF - Information and Software Technology

IS - 9

ER -

Efficient synthesis of feature models

Abstract

Emneord

Fingeraftryk

Citationsformater