Toward Generating Sufficiently Valid Test Case Results: A Method for Systematically Assigning Test Cases to Test Bench Configurations in a Scenario-Based Test Approach for Automated Vehicles
Markus Steimle, Nico Weber, Markus Maurer

TL;DR
This paper proposes a systematic method for assigning test cases to appropriate test bench configurations in scenario-based testing of automated vehicles, aiming to ensure valid results while optimizing testing efficiency.
Contribution
It introduces a novel classification and assignment method for test bench configurations to improve the validity and efficiency of automated vehicle testing.
Findings
The method enables effective allocation of test cases to test benches.
It improves the validity of test results in automated vehicle testing.
The approach supports large-scale scenario-based testing.
Abstract
To successfully launch automated vehicles into the consumer market, there must be credible proof that the vehicles will operate safely. However, finding a method to validate the vehicles' safe operation is a challenging problem. While scenario-based test approaches seem to be possible solutions, they require execution of a large number of test cases. Several test benches, ranging from actual test vehicles to partly or fully simulated environments, are available to execute these test cases. Each test bench provides different elements, which in turn, have different parameters and parameter ranges. The composition of elements with their specific parameter values at a specific test bench that is used to execute a test case is referred to as a test bench configuration. However, selecting the most suitable test bench configuration is difficult. The selected test bench configuration determines…
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