OSCAR presented at CASCON 2026
Jeremy Bradbury presented our paper “OSCAR: A Noise Injection Framework for Concurrent Java Programs”, by Filipe de Luna, João Lourenço, and Jeremy S. Bradbury, at CASCON 2026.
The paper proposes OSCAR, a new open-source noise injection framework for Java, together with a new taxonomy to categorise both new and existing noise injection heuristics. Our evaluation of OSCAR with different heuristics shows that it is highly effective at increasing the coverage of the interleaving space, and that the heuristics offer diverse trade-offs between the cost and the benefit (time versus coverage) of noise injection.
The paper is also listed on the publications page.
João Lourenço
Co-Director of UNINOVA & Associate Professor at NOVA FCT
Co-Director of UNINOVA and Associate Professor at NOVA FCT, working on in-memory data management, concurrent program testing/debugging, and edge/fog computing. Author of the NOVAthesis LaTeX template.