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Artifact Structure

This document describes the folder and script structure of the artifact accompanying the SPLC 2025 paper:

"Feedback analysis in software product line forked developments"

🗂️ Root Directory Layout

.
├── evaluation_01_data_source.py
├── evaluation_02_data_processing.py
├── evaluation_03_feedback_log.py
├── evaluation_04_analysis.py
├── evaluation_05_visuals.py
├── evaluation_06_heatmap_graph.py
│
├── feature_introduction_timeline.py
├── tag_evolution.py
├── top_n_features.py
│
├── proof_of_concept/
│   ├── proof_of_concept_01_data_source.py
│   ├── proof_of_concept_02_data_processing.py
│   ├── proof_of_concept_03_analysis.py
│   ├── proof_of_concept_04_charts.py
│
├── figures/                    # Generated charts (.svg/.png)
├── feedback_log.json           # Final aggregated result
├── forks.json                  # Input file with selected forks
├── requirements.txt
├── Dockerfile
├── docker-compose.yml
├── .env.example
├── README.md
└── structure.md                # This file

🔍 Description of Key Components

  • evaluation_*.py: Full pipeline scripts for data extraction, tagging, analysis, and visualization.
  • feature_*.py, tag_*.py, etc.: Complementary analysis tools.
  • proof_of_concept/: Minimal end-to-end example with synthetic data.
  • figures/: Output charts (automatically generated).
  • feedback_log.json: Unified log with all extracted feedback entries.
  • forks.json: The list of GitHub forks analyzed.

📦 Usage

  • Run evaluation_01 to evaluation_06 for the full process.
  • Use proof_of_concept/*.py if you want to test without GitHub API access.
  • All outputs are saved to the working directory or inside /figures.

See also: results_mapping.md for traceability between scripts and paper results.