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A variability-based testing approach for synthesizing video sequences
2014
Proceedings of the 2014 International Symposium on Software Testing and Analysis - ISSTA 2014
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
doi:10.1145/2610384.2610411
dblp:conf/issta/GalindoAABB14
fatcat:afp5xo5merhq5jrzwy5lizn44u