scam

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 PySide2: pip install scam

Run from directly outside source directory: python3 ./source/scam.py

Getting Started

STEP 1

it is recommended to create and navigate to virtual environemnt using python to run script

python3.8 -m venv <dir> 
source <dir>/bin/activate

STEP 2

install source_analyzer python package from Python Package Index. Note: must be running python version 3.8 or greater

pip install scam

OR

Download the latest built compressed file release from source_analyzer-X.X.X.tar.gz

then install downloaded file

pip3 install /<path_to_file>/scam-0.0.2.tar.gz

STEP 3

(make sure xlaunch is running) run script

scam

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