Automated flakiness detection in quantum software bug reports
Fuente:
arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866909454790819840 |
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| author | Zhang, Lei Miranskyy, Andriy |
| author_facet | Zhang, Lei Miranskyy, Andriy |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_05331 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automated flakiness detection in quantum software bug reports Zhang, Lei Miranskyy, Andriy Software Engineering 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. |
| title | Automated flakiness detection in quantum software bug reports |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2408.05331 |