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Automated flakiness detection in quantum software bug reports
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A flaky test yields inconsistent results upon repetition, posing a significant challenge to software developers. An extensive study of their presence and characteristics has been done in classical computer software but not quantum computer software. In this paper, we outline challenges and potential solutions for the automated detection of flaky tests in bug reports of quantum software. We aim to raise awareness of flakiness in quantum software and encourage the software engineering community to work collaboratively to solve this emerging challenge.
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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.
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