Project structure

• AutoenCODE: This folder contains the source code of word2vec.
• graph2vec: This folder contains the source code of graph2vec.
• joern: This folder contains the source code of joern, which is used to extract AST and CFG.
• script: This folder contains the deep learning model to detect code clone used in our experiment.
• src: This folder contains the code of extracting the syntactical and semantic embedding features of the C++ source code. It also used to generate clone and non-clone pairs.

Usage

Generate the embedding features

The src/main/java/test/GenerateTrainingData.java file is the entrance of generating embedding feature data set for the C++ source code. The embedding features of the data set have been created and store here.

Training clone detection model

The script/Classify/Classifier.py file is the entrance of training clone detection model.