A Python-driven static analysis tool tailored for Java source files.
Designed to detect code smells, style issues, and potential bugs using AST parsing and custom analysis rules.

• Input: One or more Java .java source files or directories.
• Process: Parses Java files into ASTs, applies language-specific checks.
• Output: Reports issues such as:
  • Code smells (long methods, deep nesting)
  • Unused imports
  • Naming style violations
  • Complexity thresholds exceeded
  • Missing Javadoc comments

• ✅ Lightweight, Python-native solution
• ✅ Modular rule-based analyzer
• ✅ Configurable thresholds & filters
• ✅ Supports both file and folder input
• ✅ Outputs console-friendly reports (+ optional JSON export)

1. Parser Module — Converts Java source into tree structure.
2. Rule Engine — Applies each static-analysis rule.
3. Reporter Module — Formats results in text or JSON.

➕ Add more Java-specific rules (e.g., null-check enforcement) 📣 Integrate with CI pipelines (GitHub Actions) 📈 Enhance reporting (HTML, SonarQube JSON) 🤝 Support other JVM languages like Kotlin

git clone https://github.com/AvantikaI/cdproject1.git
cd cdproject1
pip install -r requirements.txt