relaxjh-douzhir / dpfuzz Goto Github PK

# Warning! Please modify the file path according to the situation.
# Create a temporary file to store intermediate files. If the directory does not exist, DPFuzz will prompt during instrumentation and testing.
# Please execute the following command after each PC startup: sudo bash -c 'echo core >/proc/sys/kernel/core_pattern'

if [ ! -d "$HOME/fuzzloctmp" ]; then
    mkdir $HOME/fuzzloctmp
fi

if [ -d "$HOME/fuzzloctmp" ]; then
    rm -rf $HOME/fuzzloctmp
    mkdir $HOME/fuzzloctmp
fi

cd $HOME/fuzzloctmp
touch instrumentation.txt
touch flag.txt
echo "0" > $HOME/fuzzloctmp/flag.txt
sudo make clean all && sudo make ;cd llvm_mode ;sudo make clean all && cd .. ;sudo bash -c 'echo core >/proc/sys/kernel/core_pattern'

# Warning! Please modify the file path according to the situation.
lizard -l c -o=/lizard_<PROJECT>.txt
# such as:
# lizard -l c -o=/lizard_mjs.txt

# Warning! Please modify the file path according to the situation.
# Please ensure that the Python version can run clang, such as 3.7. It may be necessary to modify the file='libclang-11.so 'in the cindex of clang to file='libclang.so'
python script/py/prediction/collect_data_for_defect_prediction.py <PROJECT> <PUT_PATH> <LIZARD_PATH> <LLVM_PATH> <SAVE_PATH>
# such as:
# python /home/a/fuzz/DPfuzz/script/py/prediction/collect_data_for_defect_prediction.py mjs /home/a/fuzz/DPfuzz/dataset/mjs /home/a/fuzz/DPfuzz/script/py/prediction/lizard_file /home/a/build/llvm_tools/build-llvm/llvm/lib /home/a/fuzz/DPfuzz/script/py/prediction/PUT_features

# Pay attention to modifying the path in the code.
python script/py/prediction/defectprediction.py

# Step 1
cd /home/richard/my_toolbox/DPFuzz/DPFuzz
make clean all && make
cd /home/richard/my_toolbox/DPFuzz/script/testscript/mjs
bash mjs_pre.sh #password : zrcl991201
cd /home/richard/my_toolbox/DPFuzz/DPFuzz/llvm_mode
make clean all && cd ..
# Step 2
cd /home/richard/my_toolbox/DPFuzz/dataset/mjs
lizard -l c -o=/home/richard/my_toolbox/DPFuzz/script/py/prediction/lizard_file/lizard_mjs_output.txt
# Step 3
conda activate py38
python /home/richard/my_toolbox/DPFuzz/script/py/prediction/collect_data_for_defect_prediction.py mjs /home/richard/my_toolbox/DPFuzz/dataset/mjs /home/richard/my_toolbox/DPFuzz/script/py/prediction/lizard_file /home/richard/anaconda3/envs/py38/lib/python3.8/site-packages/clang/native /home/richard/my_toolbox/DPFuzz/script/py/prediction/PUT_features
# Step 4
cd /home/richard/my_toolbox/DPFuzz/script/py/prediction
python defectprediction.py
# Step 5
cd /home/richard/my_toolbox/DPFuzz/script/testscript/mjs
bash mjs_pre.sh
bash DPFuzz.sh