A Variability-Based Testing Approach for Synthesizing Video Sequences

José Angel Galindo Duarte 1 Mauricio Alférez 1 Mathieu Acher 1 Benoit Baudry 1 David Benavides 2
1 DiverSe - Diversity-centric Software Engineering
Inria Rennes – Bretagne Atlantique , IRISA-D4 - LANGAGE ET GÉNIE LOGICIEL
2 ISA - Automated analysis on feature models repository [Sevilla]
Departamento de Lenguajes y Sistemas Informáticos
Abstract : A key problem when developing video processing software is the difficulty to test different input combinations. In this paper, we present VANE, a variability-based testing approach to derive video sequence variants. The ideas of VANE are i) to encode in a variability model what can vary within a video sequence; ii) to exploit the variability model to generate testable configurations; iii) to synthesize variants of video sequences corresponding to configurations. VANE computes T-wise covering sets while optimizing a function over attributes. Also, we present a preliminary validation of the scalability and practicality of VANE in the context of an industrial project involving the test of video processing algorithms.VANE computes T-wise covering sets while optimizing a function over attributes. Also, we present a preliminary validation of the scalability and practicality of VANE in the context of an industrial project involving the test of video processing algorithms.
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Communication dans un congrès
ISSTA '14: International Symposium on Software Testing and Analysis, Jul 2014, San José, California, United States. 2014
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Contributeur : José Angel Galindo Duarte <>
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Dernière modification le : vendredi 16 novembre 2018 - 01:40:20
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José Angel Galindo Duarte, Mauricio Alférez, Mathieu Acher, Benoit Baudry, David Benavides. A Variability-Based Testing Approach for Synthesizing Video Sequences. ISSTA '14: International Symposium on Software Testing and Analysis, Jul 2014, San José, California, United States. 2014. 〈hal-01003148v3〉

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