Causal testing with effect modification and instrumental variables can produce reliable test outcomes for software with interacting and unobservable variables, as shown in a CARLA case study.
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Using Causal Inference to Test Systems with Hidden and Interacting Variables: An Evaluative Case Study
Causal testing with effect modification and instrumental variables can produce reliable test outcomes for software with interacting and unobservable variables, as shown in a CARLA case study.