ORCL-SVA:Enhancing Ordinal Regression-based Software Vulnerability Assessment via Difficulty Measure-based Curriculum Learning
This is the source code to the paper "ORCL-SVA:Enhancing Ordinal Regression-based Software Vulnerability Assessment via Difficulty Measure-based Curriculum Learning". Please refer to the paper for the experimental details.
Due to the large size of the datasets, we have stored them in Google Drive: Dataset Link
You can install the required dependency packages for our environment by using the following command: pip install - r requirements.txt.
1.You can directly use the dataset we have processed: Google Drive Link
2.Run method/gress_train.py. After running, you can retrain the model and obtain results.
3.You can find the implementation code for the RQ1-RQ5 section and the Discussion section experiments in the corresponding folders.
You can obtain our saved model and reproduce our results through the link:Model Link.