Test validators generated via genetic programming using the Ochiai SBFL formula are more accurate and robust to flakiness than alternatives from Tarantula, Naish, decision trees, or rules, with 88.7% alignment to known requirements in CPS case studies.
Ex- ploratory test oracle using multi-layer perceptron neural network,
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Automated Test Validators for Flaky Cyber-Physical System Simulators: Approach and Evaluation
Test validators generated via genetic programming using the Ochiai SBFL formula are more accurate and robust to flakiness than alternatives from Tarantula, Naish, decision trees, or rules, with 88.7% alignment to known requirements in CPS case studies.