FlaPy: Mining Flaky Python Tests at Scale

ICSE'23 DEMO paperpreprintFlaPyConference pageAbout the artifactspypi_projects_20221112_randomSample10k+20k_overviews.tar.xz/<b>pypi_projects_20221112_randomSample10k+20k_meta.csv</b>one row = one iterationcontains meta information about the test executions, e.g. test exeuction time<b>pypi_projects_20221112_randomSample10k+20k_to.csv</b>one row = one test casetests overview containing verdicts and flaky-status for each test case<b>flapy_input_pypi_projects_20221112_randomSample10k_containingTests.csv</b>flapy input files (1/2)<b>flapy_input_pypi_projects_20221112_randomSample20k_containingT</b><b>ests</b><b>.csv</b>flapy input files (2/2)pypi_projects_20221112_randomSample10k+20k_failures.tar.xz/Contains the junit-xml reports of all failures produced by OD and NOD flaky testsSlashes in the project-url and the file path were replaced by spacesexamples_results.zip/results a minimal flapy run on 3 projects (example from the paper)<br><br>