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A Variability-Based Testing Approach for Synthesizing Video Sequences
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.
Cited literature [23 references]
https://hal.inria.fr/hal-01003148
Contributor : José Angel Galindo Duarte <>
Submitted on : Friday, June 13, 2014 - 1:45:27 AM
Last modification on : Wednesday, December 18, 2019 - 5:11:39 PM
Document(s) archivé(s) le : Saturday, September 13, 2014 - 10:50:11 AM
Contributor : José Angel Galindo Duarte <>
Submitted on : Friday, June 13, 2014 - 1:45:27 AM
Last modification on : Wednesday, December 18, 2019 - 5:11:39 PM
Document(s) archivé(s) le : Saturday, September 13, 2014 - 10:50:11 AM
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