LOOL: Low-Overhead, Optimization-Log-Guided Compiler Fuzzing - RCR Report
This RCR report documents the Lool artifact package that accompanies our TOSEM manuscript Lool : Low-Overhead, Optimization-Log-Guided Compiler Fuzzing . The submission bundles the raw fuzzing campaign directories, Python analysis scripts, and documentation that allow reviewers to regenerate all analyses and plots reported in the paper. The package is available on Zenodo under the DOI 10.5281/zenodo.18314645 ( https://doi.org/10.5281/zenodo.18314645 ); all contents are archived on a FAIR-compliant platform. Because license restrictions keep us from redistributing the proprietary GraalVM-based fuzzer, the artifact focuses on the collected data and the downstream analysis pipeline.
Authors
- Hanspeter Mössenböck (ORCID: https://orcid.org/0000-0001-7706-7308)
- Felix Berlakovich (ORCID: https://orcid.org/0000-0003-0132-3728)
- Gergö Barany (ORCID: https://orcid.org/0000-0003-0037-0100)
- Stefan Brunthaler (ORCID: https://orcid.org/0000-0001-9766-4871)
- Florian Schwarcz
Institutions
- Johannes Kepler University of Linz (AT)
- Oracle (United States) (US)
- Universität der Bundeswehr München (DE)
Publication Details
- Journal
- ACM Transactions on Software Engineering and Methodology
- Published
- 2026-04-13
- DOI
- https://doi.org/10.1145/3806058
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00