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Conference Papers Year : 2014

A Variability-Based Testing Approach for Synthesizing Video Sequences

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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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Dates and versions

hal-01003148 , version 1 (09-06-2014)
hal-01003148 , version 2 (12-06-2014)
hal-01003148 , version 3 (13-06-2014)

Identifiers

  • HAL Id : hal-01003148 , version 3

Cite

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. ⟨hal-01003148v3⟩
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