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Flaky test detection
- Project
- 18022 IVVES
- Description
During software development, it is often common that some automated tests start to randomly fail, but finding those tests is a tedious and time-consuming problem. Flaky tests detection solves that problem by processing historical xunit test results and checks which tests changes state most often.
- Contact
- Mark van Helvoirt, Philips
- mark.van.helvoort@philips.com
- Technical features
Open Source Code: https://github.com/F-Secure/flaky-tests-detection https://github.com/F-Secure/flaky-tests-detection/issues
Input(s):
- xunit test result files
- csv file
Main feature(s):
- Visualize tests which state changes most often
Output(s):
- Calculation of test names which state changes most often
- Heatmap
- Integration constraints
- Python 3.7 or never
- pandas
- junitparser
- seaborn
- matplotlib
- Targeted customer(s)
Software development team members, like developers and QA people. Teams with CI pipeline with decent amount of test automation result.
- Conditions for reuse
Apache License 2.0
- Confidentiality
- Public
- Publication date
- 23-11-2022
- Involved partners
- Philips Electronics Nederland BV (NLD)