Open-Science-Artifact: Privacy-sensitive Design of Cyber-Physical Systems by Coordination Patterns

This is the replication package for the paper titled: "Privacy-sensitive Design of Cyber-Physical Systems by Coordination Patterns", which is currently under review for the ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2027.The package contains the following files and folders: * README.md: Instructions to set up the environment, re-run the experiments, and regenerate the table and figures of the paper;* requirements.txt: Python dependencies required to run the replication package;* run_experiments.py: Main script to execute the full experimental campaign (540 runs) or a subset of it from the command line;* generate_rq_figures.py: Script that computes the privacy and performance metrics and generates the table and figures of the paper;* reproduce_paper_figures.ipynb: Jupyter notebook, already executed, that regenerates the table and figures reported in the paper;* sim/: Simulator modules required by the replication package;* results/privacy_runs.csv: Results for the full experimental campaign;* results/privacy_summary.csv: Aggregated results averaged by topology, coordination pattern, privacy-preserving configuration, and workload;* results/privacy_metrics_paper.csv: Adversary's Success Rate and Data Disclosure Rate of each run, as reported in the paper;* results/campaign_metadata.json: Parameters of the experimental campaign;* results/configs/: Automatically generated configuration files for the experimental runs;* results/raw_logs/: Raw simulation logs generated for each experimental condition and repetition;* plots/: Folder containing the figures of the paper in .pdf format;* tables/: Folder containing the tables of the paper in LaTeX format;