Bug Patterns' Graphs

https://drive.google.com/file/d/1h8JQwkDN2E7QrHH-YgVYscMF1T2xa54E/view?usp=sharing

Installation instructions

• Create a virtualenv using pyenv of python 3.7.1

> pip install virtualenv
> virtualenv venv
> source venv/bin/activate

• Run pip3 install -r requirements.txt to install packages inside the virtualenv
• Unzip ALL the tar.gz files

How to run

There are 3 args that you need to set. The --bug_type, --use_deepbugs_embeddings and --dataset_size in order to run the classifiers. The arg choices are listed in the respective classifier files. To run with full dataset, replace --dataset_size=mini with --dataset_size=full

GAT Classifier on Homogenous graphs for each bug pattern

• python3 gat_classifier.py --bug_type=incorrect_binary_operand --use_deepbugs_embeddings=True --dataset_size=mini
• python3 gat_classifier.py --bug_type=incorrect_binary_operator --use_deepbugs_embeddings=True --dataset_size=mini
• python3 gat_classifier.py --bug_type=swapped_args --use_deepbugs_embeddings=True --dataset_size=mini

GCN Classifier on Homogenous graphs for each bug pattern

• python3 gcn_classifier.py --bug_type=incorrect_binary_operand --use_deepbugs_embeddings=True --dataset_size=mini
• python3 gcn_classifier.py --bug_type=incorrect_binary_operator --use_deepbugs_embeddings=True --dataset_size=mini
• python3 gcn_classifier.py --bug_type=swapped_args --use_deepbugs_embeddings=True --dataset_size=mini

RGCN Classifier on Heterogenous graphs

In heterographs, the classifier has to be run separately for each bug pattern.

• For incorrect binary operand related bugs: python3 rgcn_classifier_heterographs.py --bug_type=incorrect_binary_operand --use_deepbugs_embeddings=True --dataset_size=mini
• For incorrect binary operator related bugs: python3 rgcn_classifier_heterographs.py --bug_type=incorrect_binary_operator --use_deepbugs_embeddings=True --dataset_size=mini
• For swapped args bug: python3 rgcn_classifier_heterographs.py --bug_type=swapped_args --use_deepbugs_embeddings=True --dataset_size=mini