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.idea
.idea
 
 
BCB
BCB
 
 
__pycache__
__pycache__
 
 
gmnbcbresult
gmnbcbresult
 
 
.DS_Store
.DS_Store
 
 
AST.py
AST.py
 
 
README.md
README.md
 
 
SVM.py
SVM.py
 
 
createclone.py
createclone.py
 
 
createclone_bcb.py
createclone_bcb.py
 
 
createclone_java.py
createclone_java.py
 
 
decisionTree.py
decisionTree.py
 
 
decision_tree_result.txt
decision_tree_result.txt
 
 
decision_tree_result_part.txt
decision_tree_result_part.txt
 
 
edge_index.py
edge_index.py
 
 
gradient_boost.py
gradient_boost.py
 
 
metrics_per_epoch.png
metrics_per_epoch.png
 
 
models.py
models.py
 
 
randomForest.py
randomForest.py
 
 
random_forest_result.txt
random_forest_result.txt
 
 
random_forest_result_part.txt
random_forest_result_part.txt
 
 
requirements.txt
requirements.txt
 
 
result_figure.py
result_figure.py
 
 
run_bcb.py
run_bcb.py
 
 
svm_result_part.txt
svm_result_part.txt
 
 
validsmall.txt.0
validsmall.txt.0
 
 
visualize_bcb.py
visualize_bcb.py
 
 
xg_boost.py
xg_boost.py
 
 

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Expanding Software Horizons: Code Clone Detection via Data-driven Methods

Group Project for 18668 - Data Science for Software Engineering

Dataset: BigCloneBench

Dataset Link

Please unzip to ./BCB/

Baseline

SVM

python SVM.py

Decision Tree

python decisionTree.py

Random Forest

python randomForest.py

XGBoost

python xg_boost.py

GradientBoost

python gradient_boost.py

Final Method: Graph Neural Network + Abstract Syntax Tree

python run_bcb.py

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