Validation of Android apps via testing is difficult owing to the presence of flaky tests. Due to
non-deterministic execution environments, a sequence of events (a test) may lead to …

E2E web test suites are prone to test dependencies due to the heterogeneous multi-tiered
nature of modern web apps, which makes it difficult for developers to create isolated …

Regression testing is an important part of the software development process but suffers from
the presence of flaky tests. Flaky tests are tests that can nondeterministically pass or fail …

Software test flakiness is drawing increasing interest among both academic researchers and
practitioners. In this work we report our findings from a scoping review of white and grey …

Non-deterministically behaving test cases cause developers to lose trust in their regression
test suites and to eventually ignore failures. Detecting flaky tests is therefore a crucial task in …

Many Machine Learning (ML) algorithms are in-herently random in nature-executing them
using the same inputs may lead to slightly different results across different runs. Such …

Test cases that pass and fail without changes to the code under test are known as flaky. The
past decade has seen increasing research interest in flaky tests, though little attention has …

The stochastic nature of many Machine Learning (ML) algorithms makes testing of ML tools
and libraries challenging. ML algorithms allow a developer to control their accuracy and run …

Unit tests are widely used to check source code quality, but they can be too coarse-grained
or ill-suited for testing individual program statements. We introduce inline tests to make it …

Regression testing is an important part of the development process but suffers from the
presence of flaky tests. Flaky tests nondeterministically pass or fail when run on the same …