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Single and multi-objective test cases prioritization for self-driving cars in virtual environments
2022
Testing with simulation environments helps to identify critical failing scenarios for self-driving cars (SDCs). Simulation-based tests are safer than in-field operational tests and allow detecting software defects before deployment. However, these tests are very expensive and are too many to be run frequently within limited time constraints. In this paper, we investigate test case prioritization techniques to increase the ability to detect SDC regression faults with virtual tests earlier. Our
doi:10.21256/zhaw-25590
fatcat:wyv2wcpggjaa5ecs6lo5koua24