Deephyperion: exploring the feature space of deep learning-based systems through illumination search
Deep Learning (DL) has been successfully applied to a wide range of application domains,
including safety-critical ones. Several DL testing approaches have been recently proposed …
including safety-critical ones. Several DL testing approaches have been recently proposed …
Flakeflagger: Predicting flakiness without rerunning tests
When developers make changes to their code, they typically run regression tests to detect if
their recent changes (re) introduce any bugs. However, many tests are flaky, and their …
their recent changes (re) introduce any bugs. However, many tests are flaky, and their …
Empirical analysis of factors and their effect on test flakiness-practitioners' perceptions
Developers always wish to ensure that their latest changes to the code base do not break
existing functionality. If test cases fail, they expect these failures to be connected to the …
existing functionality. If test cases fail, they expect these failures to be connected to the …
Empirical analysis of practitioners' perceptions of test flakiness factors
Identifying the root causes of test flakiness is one of the challenges faced by practitioners
during software testing. In other words, the testing of the software is hampered by test …
during software testing. In other words, the testing of the software is hampered by test …