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A Variability-Based Testing Approach for Synthesizing Video Sequences

 

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Opened Access A Variability-Based Testing Approach for Synthesizing Video Sequences
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Author: Galindo Duarte, José Ángel
Alférez, Mauricio
Acher, Mathieu
Baudry, Benoit
Benavides Cuevas, David Felipe
Department: Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Date: 2014
Published in: ISSTA 2014 : International Symposium on Software Testing and Analysis (2014), p 293-303
ISBN/ISSN: 978-1-4503-2645-2
Document type: Presentation
Abstract: A key problem when developing video processing software is the di culty to test di erent 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 con gurations; iii) to synthesize variants of video sequences corresponding to con gurations. 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.
Cite: Galindo Duarte, J.Á., Alférez, M., Acher, M., Baudry, B. y Benavides Cuevas, D.F. (2014). A Variability-Based Testing Approach for Synthesizing Video Sequences. En ISSTA 2014 : International Symposium on Software Testing and Analysis (293-303), San José, California: ACM.
Size: 14.02Mb
Format: PDF

URI: http://hdl.handle.net/11441/62516

DOI: 10.1145/2610384.2610411

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