https://github.com/ngimhana/csci-780-dnn-project_bug-localisation

https://github.com/ngimhana/csci-780-dnn-project_bug-localisation

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• Host: GitHub
• URL: https://github.com/ngimhana/csci-780-dnn-project_bug-localisation
• Owner: NGimhana
• Created: 2022-12-21T16:53:27.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2022-12-24T16:26:01.000Z (about 2 years ago)
• Last Synced: 2024-11-08T09:47:10.850Z (3 months ago)
• Language: Python
• Size: 339 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CSCI-780-DNN-Project

## Collected Android GUI Bug-Solution DataSet

Buildup the evaluation data - AntroR2, with additional (37) bugs and corresponding ground truth data for bug localization

* Collected Bug-Solution pairs => https://drive.google.com/drive/folders/1Y8FL42F6YleZDKoDsgkiibygPmodjFdK?usp=sharing

* Collected Buggy Source Codes => https://drive.google.com/drive/folders/1EPsFpq6P5S1N4UW0UbOeg8e7WHz-hVxp?usp=sharing

* Collected Fixed Source Codes => https://drive.google.com/drive/folders/18XOgFirP4bHLiCjjM9Mgl57UKnmQhSUt?usp=sharing

## Run

1. Download ```issues.json``` and ```Dataset_ AndroR2.csv``` from https://drive.google.com/drive/folders/1BKnVBdeN4sok04gXe_n-kWyrwaU0Ck01?usp=sharing. And extract those to ```data/raw_data``` directory.

2. Download the corpus(projects) from https://drive.google.com/drive/folders/1UMSss7LbpZVgx00v3MttArkvcDuepAK_?usp=sharing 

3. Unzip the projects in to data/Buggy_projects directory. 

The folder hierachy should be like below. Remove temp files/zips.

   ```

    ├── data                    

        ├── Buggy_projects          

            ├── bug-18

            ├── bug-1096

            ├── bug-2 

            ├── bug-10 

            ├── bug-1147 

            ├── bug-209 

            ├── bug-8 

            ├── bug-53

            ├── bug-128

            ├── bug-200         

            └── bug-1073

    ```

4. Download the bug_fix_json from https://drive.google.com/drive/folders/1zzBNebhY9LFv72fCu1U0D_R1GOzlIJNN?usp=sharing. And extract those to data/bug_fix_json directory.

```

    ├── data                    

        ├── bug_fix_json          

            ├── 18.json

            ├── 1096.json

            ├── 2.json 

            ├── 10.json 

            ├── 1147.json 

            ├── 209.json 

            ├── 8.json 

            ├── 53.json

            ├── 128.json

            ├── 200.json         

            └── 1073.json

```

5. Execute below command to create Conda virtual environment

```

conda env create -f environment.yml

conda activate bug_localisation

```

6. Copy the Absolute path of the project, and paste it in the ```data_generation_scripts/utils.py``` line 7 This is the root_location of the parent project.

7. Navigate to ```data_generation_scripts``` directory and execute ```python 1_bug_report_generator.py```

8. Now execute the ```python 2_query_generator.py``` to generate the queries - (bug reports)

9. Now execute the ```python 3_document_generator.py``` to generate the documents - (answers to the queries i.e files that had the actual bug in the source code)

10. Now execute the ```python 4_test_generator.py``` to generate the documents - (answers to the queries i.e files that had the actual bug in the source code)

11. Execute ```python model.py``` to finetune the model and generate results.