CERNN

Code Edit Recommendation Using a Recurrent Neural Network

Data for the Experiment

You can download the data from http://salab.kaist.ac.kr/tse2015/AllProjects.zip. Then, please extract the data to the folder "dataset" under this project.

Execution for the Experiment

You can run this source code for each project by typing the following command in your console window:

python rnn_recommend.py --project MDT --window_size 3 --step 10 --lookup 1000 --batch_size 32 --epochs 500 --threshold 0.91 --remove_dupe

python rnn_recommend.py --project ECF --window_size 3 --step 10 --lookup 1000 --batch_size 32 --epochs 500 --threshold 0.91 --remove_dupe

python rnn_recommend.py --project PDE --window_size 3 --step 10 --lookup 1000 --batch_size 32 --epochs 500 --threshold 0.91 --remove_dupe

python rnn_recommend.py --project Platform --window_size 3 --step 10 --lookup 1000 --batch_size 32 --epochs 500 --threshold 0.91 --remove_dupe

python rnn_recommend.py --project Mylyn --window_size 3 --step 10 --lookup 1000 --batch_size 32 --epochs 500 --threshold 0.91 --remove_dupe