Automated Flakiness Detection in Quantum Software Bug Reports

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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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.10274
Citations
3
Primary Topic
Software Engineering Research
Type
article
Field-Weighted Citation Impact
2.34
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article

Automated Flakiness Detection in Quantum Software Bug Reports

Lei Zhang, Andriy Miranskyy
3 citations
Software Engineering Research
2.34
article

Automated Flakiness Detection in Quantum Software Bug Reports

Lei Zhang, Andriy Miranskyy
article en
3 citations

Abstract

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.

University of Toronto (CA), Toronto Metropolitan University (CA), University of Maryland, Baltimore County (US)
Openalex Percentile: Top 8%
Software Engineering Research
2.34
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