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ZENODO
Other ORP type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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Artifact repository for the paper "Isolating Compiler Faults via Multiple Pairs of Adversarial Compilation Configurations"

Authors: Li, Qingyang; Yang, Yibiao; Sun, Maolin; Wu, Jiangchang; Shi, Qingkai; Zhou, Yuming;

Artifact repository for the paper "Isolating Compiler Faults via Multiple Pairs of Adversarial Compilation Configurations"

Abstract

MultiConf is an innovative technique proposed in the paper "Isolating Compiler Faults via Multiple Pairs of Adversarial Compilation Configurations" for effective compiler fault localization. This implementation evaluates MultiConf's performance using GCC. Prerequisites - Linux workstation - Python 3.x - GCC build dependencies Getting Started 1. Setting Up Bug Information Add compiler bugs to the respective summary files using this format: bugId,trunk_revision,non_triggering_optimization,triggering_optimization,faulty_file Example (from gccbugs_summary.txt): `56478,r196310,-O1+-c,-O2+-c,gcc/predict.c` Note: Comprehensive bug information is available in the benchmark directory. 2. Running MultiConf Analysis Execute the script: python3 gcc-run.py The scripts automatically process all bugs listed in the corresponding summary files. 3. Verifying Results Verify the experimental results in the paper with: python3 verify-results.py Metrics Reported: - Top-N (Top 1, 5, 10, 20) - MFR (Mean First Rank) - MAR (Mean Average Rank)

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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