Tests that fail inconsistently, without changes to the code under test, are described as flaky.
Flaky tests do not give a clear indication of the presence of software bugs and thus limit the …

Developers often run tests to check that their latest changes to a code repository did not
break any previously working functionality. Ideally, any new test failures would indicate …

In today's agile world, developers often rely on continuous integration pipelines to help build
and validate their changes by executing tests in an efficient manner. One of the significant …

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 …

During regression testing, developers rely on the pass or fail outcomes of tests to check
whether changes broke existing functionality. Thus, flaky tests, which nondeterministically …

Probabilistic programming systems and machine learning frameworks like Pyro, PyMC3,
TensorFlow, and PyTorch provide scalable and efficient primitives for inference and training …

Flaky tests are tests that can non-deterministically pass and fail. They pose a major
impediment to regression testing, because they provide an inconclusive assessment on …

A flaky test is a test that both passes and fails periodically without any code changes, and its
uncontrolled uncertainty will destroy the value of the test suites and even cause developers …

A flaky test is a test case whose outcome changes without modification to the code of the test
case or the program under test. These tests disrupt continuous integration, cause a loss of …

Flaky tests are tests that can non-deterministically pass or fail for the same code version.
These tests undermine regression testing efficiency, because developers cannot easily …