Source Code Analyzing Machine

GitHub Repo Link

• A locally run application that demonstrates different matching algorithms
• Current release compares files as a one to one connection
• Outputs given percentage of similarity and highlighted visualization of the matching sections of input documents
• Supports C, C++, Java, and Python files

Getting Started

Install the following packages:

PySide2: pip3 install PySide2

NetworkX: pip3 install networkx

matplotlib: pip3 install matplotlib

Grave: pip3 install grave

javalang: pip3 install javalang

libclang: pip3 install libclang

pycparser: pip3 install pycparser

Run from inside source directory: python3 ./scam.py

Known Errors/Issues

Issues- Python files featuring a heavy amount of print statements may cause skewed data.

Project Group: Codalyzers

• Djoni Austin | @dcaust1n
• Jared Dawson | @lukinator1
• Shane Eising | @seising99
• Julian Marott | @jmmoratta

References:

https://theory.stanford.edu/~aiken/publications/papers/sigmod03.pdf