https://github.com/parvezmrobin/bugsplorer-replication-package
https://github.com/parvezmrobin/bugsplorer-replication-package
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/parvezmrobin/bugsplorer-replication-package
- Owner: parvezmrobin
- Created: 2023-07-17T20:26:50.000Z (almost 2 years ago)
- Default Branch: master
- Last Pushed: 2023-07-17T20:27:46.000Z (almost 2 years ago)
- Last Synced: 2025-02-07T16:43:42.290Z (4 months ago)
- Language: Python
- Size: 21.5 KB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
README
# Bugsplorer Replication Package
## Environment Setup
First, make sure you have CUDA 11.6 and Python 3.10 installed.
Then, install the required packages by running the following command:
```shell
pip install -r requirements.txt
```
## Download and Prepare the Dataset
Download the Defectors dataset from [here](https://zenodo.org/record/7708984#.ZEYdOXbMJD8)
and LineDP dataset from [here](https://github.com/awsm-research/line-level-defect-prediction/tree/master/Dataset).
Put both of them inside the `dataset` folder.
Then, run the `preprocess_data.py` script inside the `script` folder to prepare the dataset.
## Run the Experiments
### Train A Model
To train a model, run the following command:
```shell
python -m src.bug_prediction.BugPredictorTrainer \
--model_type=roberta \
--config_name=huggingface/CodeBERTa-small-v1 \
--tokenizer_name=huggingface/CodeBERTa-small-v1 \
--encoder_type=line \
--dataset_path=dataset/defectors/line_bug_prediction_splits/random \
--batch_size=16 \
--num_epoch=20 \
--cache_dir=cache/roberta-defectors-line-random \
--checkpoint_dir=checkpoints/roberta-defectors-line-random \
--class_weight=100
```
### Test the Trained Model
To test the trained model, run the following command:
```shell
python -m src.bug_prediction.BugPredictionTester \
--model_type=roberta \
--config_name=huggingface/CodeBERTa-small-v1 \
--tokenizer_name=huggingface/CodeBERTa-small-v1 \
--model_name=checkpoints/103.train-bugsplorer-linedp-line-time-w_100-gpu_2-b_16 \
--encoder_type=line \
--dataset_path=dataset/defectors/line_bug_prediction_splits/random \
--batch_size=16 \
--cache_dir=cache/roberta-defectors-line-random \
--checkpoint_dir=checkpoints/roberta-defectors-line-random \
--output_path=outputs/roberta-defectors-line-random
```