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ICSE Submission #2645

Cite

@inproceedings{benchmarking,
 author = {B{\"o}hme, Marcel and Szekeres, L{\'a}szl{\'o} and Metzman, Jonathan},
 title = {On the Reliability of Coverage-based Fuzzer Benchmarking},
 year = {2022},
 booktitle = {Proceedings of the 44th International Conference on Software Engineering},
 series = {ICSE '22},
 pages = {1-13},
}

Data Analysis

The Jupyter notebook generating all tables and figures can be found at https://github.com/icse22data/icse22data/tree/main/fuzzbench.manual.ipynb

Generated Images and Tables

The generated data analysis artifacts can be found at https://github.com/icse22data/icse22data/tree/main/generated

Data

All the data is available in the FuzzBench Reports and will be automatically downloaded.

Reproducibility

# Download the precise version of FuzzBench used for the experiment
git clone https://github.com/google/fuzzbench.git
cd fuzzbench
git checkout <Fuzzbench Commit>
# Download the internal config file.
curl https://storage.googleapis.com/[experiment-name]/config/experiment.yaml > /tmp/experiment-config.yaml
make install-dependencies
# Launch the experiment using paramters from the internal config file.
PYTHONPATH=. python experiment/reproduce_experiment.py -c /tmp/experiment-config.yaml -e <new_experiment_name>

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