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 …

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 …

A flaky test is a test that may lead to different results in different runs on a single code under
test without any change in the test code. Test flakiness is a noxious phenomenon that slows …

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 …

Regression testing provides important pass or fail signals that developers use to make
decisions after code changes. However, flaky tests, which pass or fail even when the code …

Tests that cause spurious failures without any code changes, ie, flaky tests, hamper
regression testing, increase maintenance costs, may shadow real bugs, and decrease trust …

Flaky tests are tests whose outcomes are non-deterministic. Despite the recent research
activity on this topic, no effort has been made on understanding the vocabulary of flaky tests …

Software testing assures that code changes do not adversely affect existing functionality.
However, a test case can be flaky, ie, passing and failing across executions, even for the …

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