This is a project of LLM-based unit test generation. For a given Java project, UTGen_LLM generates unit tests for each public method in the project, one test class for each method.

The program is structured as follows:

• config folder contains the configuration file.
• entities folder contains some classes that are used to represent the entities in the program.
• tests folder contains some tests to verfiy the correctness of some functionalities.
• utils folder contains some utility classes that are used in the program.
• config.py is responsible for reading config files (.yaml file) into dicts for reference.
• main.py is the main entrance of the project.

Please refer to requirements.txt file for the necessary packages.

pip install -r requirements.txt

If the installation failed due to incompatible versions, please directly use

pip install <required_package>

where <required_package> is the name of the package to be installed.

1. Copy config.yaml as my_config.yaml. Please remember the name, as it will be used later in the execution command.

cd config
cp config.yaml my_config.yaml

2. Open my_config.yaml, and change the following configuration settings.

base:
  project_home: /path/to/UTGen_LLM
llm:
  model: "Your Model"
  key: "Empty Key"
  api: "http://link_to.openai_api:server"
  temperature: 1.0
  top_p: 0.95
  max_tokens: 4096

3. For debugging, please go to the utils/Pipeline.py file, and set the value of debug to True (line 11). It will only run 2 methods in one class to verify that the script works fine.

4. Run main.py with proper parameters following the instruction.

LLM-based unit test generation.

options:
  -h, --help            show this help message and exit
  --project PROJECT     Project name.
  --project-path PROJECT_PATH
                        Path to the repository code base.
  --config-file CONFIG_FILE
                        Path to the configuration file.
  --source-code-path SOURCE_CODE_PATH
                        Relative path from the project path to the source code. By default, it is set as src/main
  --test-code-path TEST_CODE_PATH
                        Relative path from the project path to the test code. By default, it is set as src/test
  --output-file OUTPUT_FILE
                        Path of the JSONL file to store the generated test classes.

4. Find the generated test classes in the output-file file.

Please cite our recent work in LLM-based unit test generation if you find this repository useful! Thank you very much!

@inproceedings{yang2024evaluation,
  title={On the Evaluation of Large Language Models in Unit Test Generation},
  author={Yang, Lin and Yang, Chen and Gao, Shutao and Wang, Weijing and Wang, Bo and Zhu, Qihao and Chu, Xiao and Zhou, Jianyi and Liang, Guangtai and Wang, Qianxiang and others},
  booktitle={Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering},
  pages={1607--1619},
  year={2024}
}