Machine learning classifiers trained on word counts of quantum test code can flag flaky tests derived from keyword search, with gradient boosting and decision trees achieving the best F1 and Matthews correlation scores.
A survey on how test flakiness affects developers and what support they need to address it,
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Identifying Flaky Tests in Quantum Code: A Machine Learning Approach
Machine learning classifiers trained on word counts of quantum test code can flag flaky tests derived from keyword search, with gradient boosting and decision trees achieving the best F1 and Matthews correlation scores.