Flaky tests (tests with non-deterministic outcomes) pose a major challenge for software
testing. They are known to cause significant issues, such as reducing the effectiveness and …

Testing Machine Learning (ML) projects is challenging due to inherent non-determinism of
various ML algorithms and the lack of reliable ways to compute reference results …

Probabilistic programming aims to open the power of Bayesian reasoning to software
developers and scientists, but identification of problems during inference and debugging are …

Probabilistic programming aims to open the power of Bayesian reasoning to software
developers and scientists, but identification of problems during inference and debugging are …

The constrained minimization (respectively maximization) of directed distances and of
related generalized entropies is a fundamental task in information theory as well as in the …

Abstract Electricity outages in South Africa have become a growing concern for businesses
and individuals. Despite improvements in supply, planned outages are becoming regular …

Probabilistic programming simplifies the encoding of statistical models as straightforward
programs. At its core, it employs an inference algorithm which automate the model inference …

This study proposes methods that can be used to examine and interpret comments that
users have made after watching videos on YouTube on a particular topic. YouTube tutorials …

A flaky test is a test case that can pass or fail without changes to the test case code or the
code under test. They are a wide-spread problem with serious consequences for developers …

In this position paper, we investigate how frequently is randomness the cause of flakiness in
the traditional and in the AI-enabled software domains. Based on previous works, it seems …