Add more resources and studies to flaky tests page in docs #13250
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Two questions:
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Thanks! 🙇
No need, but if you want, you can add a
I think it is fine, thanks! Perhaps add a |
nicoddemus
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Feb 24, 2025
| * Bell, Jonathan, Owolabi Legunsen, Michael Hilton, Lamyaa Eloussi, Tifany Yung, and Darko Marinov. "DeFlaker: Automatically detecting flaky tests." In *Proceedings of the 2018 International Conference on Software Engineering*. 2018. `PDF <https://www.jonbell.net/icse18-deflaker.pdf>`__ | ||
| * Dutta, Saikat and Shi, August and Choudhary, Rutvik and Zhang, Zhekun and Jain, Aryaman and Misailovic, Sasa. "Detecting flaky tests in probabilistic and machine learning applications." In *Proceedings of the 29th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)*, pp. 211-224. ACM, 2020. `PDF <https://www.cs.cornell.edu/~saikatd/papers/flash-issta20.pdf>`__ | ||
| * Habchi, Sarra and Haben, Guillaume and Sohn, Jeongju and Franci, Adriano and Papadakis, Mike and Cordy, Maxime and Le Traon, Yves. "What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness." In Proceedings of the 38th IEEE International Conference on Software Maintenance and Evolution (ICSME), IEEE, 2022. `PDF <https://arxiv.org/abs/2207.10143>`__ | ||
| * Lamprou, Sokrates. "Non-deterministic tests and where to find them: Empirically investigating the relationship between flaky tests and test smells by examining test order dependency." Bachelor thesis, Department of Computer and Information Science, Linköping University, 2022. LIU-IDA/LITH-EX-G–19/056–SE. `PDF <https://www.diva-portal.org/smash/get/diva2:1713691/FULLTEXT01.pdf>`__ |
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I can't access this link: https://www.diva-portal.org/smash/get/diva2:1713691/FULLTEXT01.pdf
Can you double check please?
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| * `Athena: Our automated build health management system <https://mill-build.org/blog/4-flaky-tests.html>`_ by Utsav Shah, 2019 | ||
| * `How To Manage Flaky Tests in your CI Workflows <https://mill-build.org/blog/4-flaky-tests.html>`_ by Li Haoyi, 2025 |
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Hi there.
I found the flaky tests page in the Pytest docs, and the studies/resources here were helpful, some of which I've not seen.
I wanted to return the favor and share some newer resources and studies that I've found useful while building my solutions.