Flaky Test Solutions

Gregory discusses various tools available for Python and Java developers to intelligently rerun test suites, particularly when flaky tests are detected. He highlights the role of machine learning, specifically supervised algorithms, in predicting test flakiness by analyzing program and test suite data. Nikhil raises important questions about the probabilistic nature of machine learning and its implications for achieving reliable results.

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Software Engineering Radio - the podcast for professional software developers
SE Radio 572: Gregory Kapfhammer on Flaky Tests
Related Questions
- How do you actually deal with that? Is that the method that you used, which is a supervised machine learning method? Do you get better results from that and are you more confident about your results there?

Flaky Test Solutions

In this clip

From this podcast

Software Engineering Radio - the podcast for professional software developers

SE Radio 572: Gregory Kapfhammer on Flaky Tests

Related Questions

How do you actually deal with that? Is that the method that you used, which is a supervised machine learning method? Do you get better results from that and are you more confident about your results there?