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Erschienen in: Software and Systems Modeling 1/2017

24.07.2015 | Theme Section Paper

Statistical prioritization for software product line testing: an experience report

verfasst von: Xavier Devroey, Gilles Perrouin, Maxime Cordy, Hamza Samih, Axel Legay, Pierre-Yves Schobbens, Patrick Heymans

Erschienen in: Software and Systems Modeling | Ausgabe 1/2017

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Abstract

Software product lines (SPLs) are families of software systems sharing common assets and exhibiting variabilities specific to each product member of the family. Commonalities and variabilities are often represented as features organized in a feature model. Due to combinatorial explosion of the number of products induced by possible features combinations, exhaustive testing of SPLs is intractable. Therefore, sampling and prioritization techniques have been proposed to generate sorted lists of products based on coverage criteria or weights assigned to features. Solely based on the feature model, these techniques do not take into account behavioural usage of such products as a source of prioritization. In this paper, we assess the feasibility of integrating usage models into the testing process to derive statistical testing approaches for SPLs. Usage models are given as Markov chains, enabling prioritization of probable/rare behaviours. We used featured transition systems, compactly modelling variability and behaviour for SPLs, to determine which products are realizing prioritized behaviours. Statistical prioritization can achieve a significant reduction in the state space, and modelling efforts can be rewarded by better automation. In particular, we used MaTeLo, a statistical test cases generation suite developed at ALL4TEC. We assess feasibility criteria on two systems: Claroline, a configurable course management system, and Sferion™, an embedded system providing helicopter landing assistance.

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Metadaten
Titel
Statistical prioritization for software product line testing: an experience report
verfasst von
Xavier Devroey
Gilles Perrouin
Maxime Cordy
Hamza Samih
Axel Legay
Pierre-Yves Schobbens
Patrick Heymans
Publikationsdatum
24.07.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Software and Systems Modeling / Ausgabe 1/2017
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI
https://doi.org/10.1007/s10270-015-0479-8

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