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