iPFlakies

Abstract

Developers typically run tests after code changes. Flaky tests, which are tests that can nondeterministically pass and fail when run on the same version of code, can mislead developers about their recent changes. Much of the prior work on flaky tests is focused on Java projects. One prominent category of flaky tests that the prior work focused on is order-dependent (OD) tests, which are tests that pass or fail depending on the order in which tests are run. For example, our prior work proposed using other tests in the test suite to fix (or correctly set up) the state needed by Java OD tests to pass.Unlike Java flaky tests, flaky tests in other programming languages have received less attention. To help with this problem, another piece of prior work recently studied flaky tests in Python projects and detected many OD tests. Unfortunately, the work did not identify the other tests in the test suites that can be used to fix the OD tests. To fill this gap, we propose iPFlakies, a framework for automatically detecting and fixing Python OD tests. Using iPFlakies, we extend the prior work’s dataset to include (1) tests that can be used to reproduce and fix the OD tests and (2) patches for the OD tests. Our work to extend the dataset finds that reproducing passing and failing test results of flaky tests can be difficult and that iPFlakies is effective at detecting and fixing Python OD tests. To aid future research, we make our iPFlakies framework, dataset improvements, and experimental infrastructure publicly available.