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Dr. Gregory Kapfhammer wants to stop flaky tests
Manage episode 351737017 series 2113983
Dr. Kapfhammer and his team focus on research related to flaky software tests, which are tests that produce inconsistent or unpredictable results. Why are tests flaky? How can we identify them and stop them in their tracks. He talks to Scott about the results of his research and practical tips for improving tests is to ensure that they are robust and reliable.
- Web: https://www.gregorykapfhammer.com/
- GitHub: https://github.com/gkapfham
- LinkedIn: http://www.linkedin.com/in/GregKapfhammer
- Mastodon: https://fosstodon.org/@gkapfham
- Twitter: https://twitter.com/GregKapfhammer
- "A Survey of Flaky Tests", Transactions on Software Engineering and Methodology 31:1, 2022, https://www.gregorykapfhammer.com/research/papers/Parry2022/
- "Evaluating Features for Machine Learning Detection of Order- and Non-order-dependent Flaky Tests", Proceedings of the 15th International Conference on Software Testing, Verification and Validation, 2022, https://www.gregorykapfhammer.com/research/papers/Parry2022a/
- "Surveying the Developer Experience of Flaky Tests", Proceedings of the 44th International Conference on Software Engineering – Software Engineering in Practice Track, 2022, https://www.gregorykapfhammer.com/research/papers/Parry2022b/
938 επεισόδια
Manage episode 351737017 series 2113983
Dr. Kapfhammer and his team focus on research related to flaky software tests, which are tests that produce inconsistent or unpredictable results. Why are tests flaky? How can we identify them and stop them in their tracks. He talks to Scott about the results of his research and practical tips for improving tests is to ensure that they are robust and reliable.
- Web: https://www.gregorykapfhammer.com/
- GitHub: https://github.com/gkapfham
- LinkedIn: http://www.linkedin.com/in/GregKapfhammer
- Mastodon: https://fosstodon.org/@gkapfham
- Twitter: https://twitter.com/GregKapfhammer
- "A Survey of Flaky Tests", Transactions on Software Engineering and Methodology 31:1, 2022, https://www.gregorykapfhammer.com/research/papers/Parry2022/
- "Evaluating Features for Machine Learning Detection of Order- and Non-order-dependent Flaky Tests", Proceedings of the 15th International Conference on Software Testing, Verification and Validation, 2022, https://www.gregorykapfhammer.com/research/papers/Parry2022a/
- "Surveying the Developer Experience of Flaky Tests", Proceedings of the 44th International Conference on Software Engineering – Software Engineering in Practice Track, 2022, https://www.gregorykapfhammer.com/research/papers/Parry2022b/
938 επεισόδια
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