Ponencia
A Variability-Based Testing Approach for Synthesizing Video Sequences
Autor/es | Galindo Duarte, José Ángel
Alférez, Mauricio Acher, Mathieu Baudry, Benoit Benavides Cuevas, David Felipe |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2014 |
Fecha de depósito | 2017-07-14 |
Publicado en |
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ISBN/ISSN | 978-1-4503-2645-2 |
Resumen | 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 ... 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. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España |
Identificador del proyecto | info:eu-repo/grantAgreement/MINECO/TIN2012-32273
TIC-5906 P12-TIC-1867 |
Cita | 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. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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A Variability-Based.pdf | 14.02Mb | [PDF] | Ver/ | |