Featured Model-based Mutation Analysis

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Résumé

Model-based mutation analysis is a powerful but expensive testing technique. We tackle this problem by proposing an optimization technique that drastically speeds up the mutant execution process. Central to this approach is the Featured Mutant Model, a modeling framework for mutation analysis inspired by the software product line paradigm. It uses behavioral variability models, viz., Featured Transition Systems, which enable the optimized generation, configuration and execution of mutants. We provide results, based on models with thousands of transitions, suggesting that our technique is fast and scalable. We found that it outperforms previous approaches by several orders of magnitude and that it makes higher-order mutation practically applicable.
langue originaleAnglais
titreProceedings of the 38th international conference on Software Engineering
Lieu de publicationAustin, TX, USA
EditeurACM Press
Pages655-666
Nombre de pages12
ISBN (imprimé)978-1-4503-3900-1
Les DOIs
étatPublié - mai 2016

Série de publications

NomICSE '16
EditeurACM

Empreinte digitale

Testing

Citer ceci

Devroey, X., Perrouin, G., Papadakis, M., Legay, A., Schobbens, P., & Heymans, P. (2016). Featured Model-based Mutation Analysis. Dans Proceedings of the 38th international conference on Software Engineering (p. 655-666). (ICSE '16). Austin, TX, USA: ACM Press. https://doi.org/10.1145/2884781.2884821
Devroey, Xavier ; Perrouin, Gilles ; Papadakis, Mike ; Legay, Axel ; Schobbens, Pierre ; Heymans, Patrick. / Featured Model-based Mutation Analysis. Proceedings of the 38th international conference on Software Engineering. Austin, TX, USA : ACM Press, 2016. p. 655-666 (ICSE '16).
@inproceedings{f539fd2ea918403e879b11799a1aaaed,
title = "Featured Model-based Mutation Analysis",
abstract = "Model-based mutation analysis is a powerful but expensive testing technique. We tackle this problem by proposing an optimization technique that drastically speeds up the mutant execution process. Central to this approach is the Featured Mutant Model, a modeling framework for mutation analysis inspired by the software product line paradigm. It uses behavioral variability models, viz., Featured Transition Systems, which enable the optimized generation, configuration and execution of mutants. We provide results, based on models with thousands of transitions, suggesting that our technique is fast and scalable. We found that it outperforms previous approaches by several orders of magnitude and that it makes higher-order mutation practically applicable.",
keywords = "featured transition systems, mutation analysis, variability",
author = "Xavier Devroey and Gilles Perrouin and Mike Papadakis and Axel Legay and Pierre Schobbens and Patrick Heymans",
year = "2016",
month = "5",
doi = "10.1145/2884781.2884821",
language = "English",
isbn = "978-1-4503-3900-1",
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publisher = "ACM Press",
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Devroey, X, Perrouin, G, Papadakis, M, Legay, A, Schobbens, P & Heymans, P 2016, Featured Model-based Mutation Analysis. Dans Proceedings of the 38th international conference on Software Engineering. ICSE '16, ACM Press, Austin, TX, USA, p. 655-666. https://doi.org/10.1145/2884781.2884821

Featured Model-based Mutation Analysis. / Devroey, Xavier; Perrouin, Gilles; Papadakis, Mike; Legay, Axel; Schobbens, Pierre; Heymans, Patrick.

Proceedings of the 38th international conference on Software Engineering. Austin, TX, USA : ACM Press, 2016. p. 655-666 (ICSE '16).

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

TY - GEN

T1 - Featured Model-based Mutation Analysis

AU - Devroey, Xavier

AU - Perrouin, Gilles

AU - Papadakis, Mike

AU - Legay, Axel

AU - Schobbens, Pierre

AU - Heymans, Patrick

PY - 2016/5

Y1 - 2016/5

N2 - Model-based mutation analysis is a powerful but expensive testing technique. We tackle this problem by proposing an optimization technique that drastically speeds up the mutant execution process. Central to this approach is the Featured Mutant Model, a modeling framework for mutation analysis inspired by the software product line paradigm. It uses behavioral variability models, viz., Featured Transition Systems, which enable the optimized generation, configuration and execution of mutants. We provide results, based on models with thousands of transitions, suggesting that our technique is fast and scalable. We found that it outperforms previous approaches by several orders of magnitude and that it makes higher-order mutation practically applicable.

AB - Model-based mutation analysis is a powerful but expensive testing technique. We tackle this problem by proposing an optimization technique that drastically speeds up the mutant execution process. Central to this approach is the Featured Mutant Model, a modeling framework for mutation analysis inspired by the software product line paradigm. It uses behavioral variability models, viz., Featured Transition Systems, which enable the optimized generation, configuration and execution of mutants. We provide results, based on models with thousands of transitions, suggesting that our technique is fast and scalable. We found that it outperforms previous approaches by several orders of magnitude and that it makes higher-order mutation practically applicable.

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KW - mutation analysis

KW - variability

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DO - 10.1145/2884781.2884821

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SN - 978-1-4503-3900-1

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BT - Proceedings of the 38th international conference on Software Engineering

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Devroey X, Perrouin G, Papadakis M, Legay A, Schobbens P, Heymans P. Featured Model-based Mutation Analysis. Dans Proceedings of the 38th international conference on Software Engineering. Austin, TX, USA: ACM Press. 2016. p. 655-666. (ICSE '16). https://doi.org/10.1145/2884781.2884821