What question did this study set out to answer?

The aim is to provide a comprehensive artifact package for the Lool study, facilitating analysis replication.

April 15, 2026

LOOL: Low-Overhead, Optimization-Log-Guided Compiler Fuzzing - RCR Report

Key Points

The aim is to provide a comprehensive artifact package for the Lool study, facilitating analysis replication.
Bundled raw fuzzing campaign directories
Included Python analysis scripts
Documentation for reproducing analyses
Available on a FAIR-compliant platform
The package allows reviewers to regenerate analyses and plots reported in the manuscript
License restrictions limit redistribution of the proprietary fuzzer
Focus is on collected data and downstream analysis pipeline

Abstract

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.

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Cite This Study

Berlakovich et al. (Mon,) studied this question.

synapsesocial.com/papers/69df2b65e4eeef8a2a6b066f https://doi.org/https://doi.org/10.1145/3806058

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