article

Classifying variability modeling techniques

Authors:

Sybren DeelstraAuthors Info & Claims

Information and Software Technology, Volume 49, Issue 7

Pages 717 - 739

https://doi.org/10.1016/j.infsof.2006.08.001

Published: 01 July 2007 Publication History

Abstract

Variability modeling is important for managing variability in software product families, especially during product derivation. In the past few years, several variability modeling techniques have been developed, each using its own concepts to model the variability provided by a product family. The publications regarding these techniques were written from different viewpoints, use different examples, and rely on a different technical background. This paper sheds light on the similarities and differences between six variability modeling techniques, by exemplifying the techniques with one running example, and classifying them using a framework of key characteristics for variability modeling. It furthermore discusses the relation between differences among those techniques, and the scope, size, and application domain of product families.

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Cited By

Azonhoumon V(2024)Design of a Meta-Factory for Product Lines Model-Driven SoftwareProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3676545(6-10)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3676545
Camara JHahner SPerez-Palacin DVallecillo AAcosta MBencomo NCalinescu RGerasimou SBaresi LMa XPasquale L(2024)Uncertainty Flow Diagrams: Towards a Systematic Representation of Uncertainty Propagation and Interaction in Adaptive SystemsProceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1145/3643915.3644084(37-43)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643915.3644084
Weyns DCalinescu RMirandola RTei KAcosta MBencomo NBennaceur ABoltz NBures TCamara JDiaconescu AEngels GGerasimou SGerostathopoulos IGetir Yaman SGrassi VHahner SInverardi PVan Landuyt Dde Lemos RLetier ELitoiu MMarsso LMusil AMusil JNunes Rodrigues GPerez-Palacin DQuin FScandurra PVallecillo AZisman A(2023)Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive SystemsACM SIGSOFT Software Engineering Notes10.1145/3617946.361795148:4(20-36)Online publication date: 17-Oct-2023
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Classifying variability modeling techniques

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cover image Information and Software Technology

Information and Software Technology Volume 49, Issue 7

July, 2007

123 pages

ISSN:0950-5849

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Copyright © Elsevier B.V. © 2006.

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Butterworth-Heinemann

United States

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Published: 01 July 2007

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Cited By

Azonhoumon V(2024)Design of a Meta-Factory for Product Lines Model-Driven SoftwareProceedings of the 28th ACM International Systems and Software Product Line Conference10.1145/3646548.3676545(6-10)Online publication date: 2-Sep-2024
https://dl.acm.org/doi/10.1145/3646548.3676545
Camara JHahner SPerez-Palacin DVallecillo AAcosta MBencomo NCalinescu RGerasimou SBaresi LMa XPasquale L(2024)Uncertainty Flow Diagrams: Towards a Systematic Representation of Uncertainty Propagation and Interaction in Adaptive SystemsProceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems10.1145/3643915.3644084(37-43)Online publication date: 15-Apr-2024
https://dl.acm.org/doi/10.1145/3643915.3644084
Weyns DCalinescu RMirandola RTei KAcosta MBencomo NBennaceur ABoltz NBures TCamara JDiaconescu AEngels GGerasimou SGerostathopoulos IGetir Yaman SGrassi VHahner SInverardi PVan Landuyt Dde Lemos RLetier ELitoiu MMarsso LMusil AMusil JNunes Rodrigues GPerez-Palacin DQuin FScandurra PVallecillo AZisman A(2023)Towards a Research Agenda for Understanding and Managing Uncertainty in Self-Adaptive SystemsACM SIGSOFT Software Engineering Notes10.1145/3617946.361795148:4(20-36)Online publication date: 17-Oct-2023
https://dl.acm.org/doi/10.1145/3617946.3617951
Troya JMoreno NBertoa MVallecillo A(2021)Uncertainty representation in software models: a surveySoftware and Systems Modeling (SoSyM)10.1007/s10270-020-00842-120:4(1183-1213)Online publication date: 1-Aug-2021
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Safdar SLu HYue TAli SNie K(2021)A framework for automated multi-stage and multi-step product configuration of cyber-physical systemsSoftware and Systems Modeling (SoSyM)10.1007/s10270-020-00803-820:1(211-265)Online publication date: 1-Feb-2021
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Feichtinger KRabiser R(2020)Towards Transforming Variability ModelsProceedings of the 24th ACM International Systems and Software Product Line Conference - Volume B10.1145/3382026.3425768(44-51)Online publication date: 19-Oct-2020
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Kenner ADassow SLausberger CKrüger JLeich T(2020)Using variability modeling to support security evaluationsProceedings of the 14th International Working Conference on Variability Modelling of Software-Intensive Systems10.1145/3377024.3377026(1-9)Online publication date: 5-Feb-2020
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