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Compiler Faults Isolation Empowered with Multiple Pairs of Adversarial Compilation Configurations

Compiler Faults Isolation Empowered with Multiple Pairs of Adversarial Compilation Configurations

Abstract

Artifacts for FSE2025 Paper #796 This replication package contains the necessary files to redo the experiment and verify the experimental results. Environment and Hardware The experiments were conducted within a Docker container equipped with 20-core CPU and 120GB memory. The operating system is Ubuntu 14.04 64-bit. Instructions To redo the experiment, follow the steps below: Ensure you have Python 3 and other necessary dependencies to install GCC compilers. Move the entire gcc directory to the root directory of your system. Run the following command in the terminal: python3 gcc-run.py To verify the experimental results in the paper, follow the steps below: Ensure you have Python 3 installed on your system. Run the following command in the terminal: python3 verify-results.py Files The replication package contains the following files: gcc-run.py: This script executes the experiment. verify-results.py: This script verifies the experimental results. gccbugs_summary.txt: This file contains summary information of all the bugs in the benchmark. Directories The replication package contains the following directories: compilers: The directory is where the GCC compilers will be installed using the provided script. cov: This directory contains the collected code coverage used to verify the experimental results. gccbugs: This directory contains the dataset used in the experiment.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average