five

Artifacts for Paper Submission

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Zenodo2025-05-08 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.14716364
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Artifacts for Paper Submission to the IEEE Transactions on Software Engineering  This repository contains the source code and dataset associated with our submission to the IEEE Transactions on Software Engineering. Below are detailed instructions for setting up the environment, installing dependencies, and reproducing the results presented in the paper. Quick Start 1. Setup Environment Create and activate a Conda environment with the required Python version: conda create -n RACGSecurity python=3.10 conda activate RACGSecurity Install the necessary Python packages: pip install pytorch openai transformers crystalbleu ollama rank-bm25 sklearn numpy   2.Set API Key To use LLMs, specify your API key in `src/configs.py`. Below is an example configuration: "gpt-4o": { "base_url": "https://api.openai.com/v1/", "key": "Your API key here" } For local models such as Llama-3, CodeLlama, and DeepSeek-Coder-V2, they are implemented using the [ollama framework](https://ollama.com/). Refer to their respective official documentation for setup instructions.   Reproducing Results 1. Generate Embeddings for the Retriever Run the following script to create embeddings for the retriever: python ./src/gen_embedding.py 2. Scenario I Use the following command to generate code with `gpt-4o` under a `one`-shot setting, using the `JINA` retriever and a poisoning number of `5`:   python src/Scenario_I.py --model gpt-4o --poisoned_num 5 --shots_num 1 --retriever JINA --dataset_path ./dataset/ReposVul.jsonl --embeddings_path ./embeddings 3. Scenario II Similar to Scenario I, but this scenario uses `poisoned_proportion` to measure poisoning quantities:   python src/Scenario_II.py --model gpt-4o --poisoned_proportion 0.6 --shots_num 1 --retriever JINA --dataset_path ./dataset/ReposVul.jsonl --embeddings_path ./embeddings 4. Evaluation Evaluate the security of the LLM-generated code by running: python ./src/eval_security.py --generated_code_path "GENERATED_CODE_PATH" Replace `"GENERATED_CODE_PATH"` with the actual path to the generated code.
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Zenodo
创建时间:
2025-01-22
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