Static Analysis of Code Quality in Open-Source Python Projects

This repository contains the datasets, scripts, and figures for the paper:

Static Analysis of Code Quality in Open-Source Python Projects
Submitted to Journal of Undergraduate Research International (JURI), 2025

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📖 Overview

This project evaluates the code quality of popular open-source Python projects using static analysis metrics.
The goal is to provide empirical insights into maintainability, complexity, coding standard adherence, and security issues.

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🔧 Tools Used

• Radon → Lines of Code (LOC), Cyclomatic Complexity (CC), Maintainability Index (MI)
• Pylint → Code quality score, code smells
• Flake8 → PEP8 style violations
• Bandit → Security issue detection

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📊 Workflow

1. Project Selection – Open-source Python projects (e.g., Requests, BeautifulSoup4).
2. Metric Extraction – Run Radon, Pylint, Flake8, and Bandit on each source file.
3. Dataset Creation – Export metrics into a CSV file.
4. Analysis – Summarize metrics, detect high-risk modules, and visualize trends.

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📈 Example Results

• Average Cyclomatic Complexity: 1.87 across 6,962 files
• Maintainability Index: 45.0 mean (0–100 scale)
• PEP8 Violations: Ranged from 0 to 1,087 per file
• Security Issues: Up to 596 flagged per file

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🛠 Installation

Clone the repository and install dependencies:

git clone https://github.com/YOUR_USERNAME/Static-Analysis-Python-CodeQuality.git
cd Static-Analysis-Python-CodeQuality
pip install pandas radon pylint flake8 bandit tqdm