标题： VulGuard：一种统一的工具，用于评估即时漏洞预测模型 显示英文标题

标题： VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models

摘要： 我们提出VulGuard，一种自动化工具，旨在简化从GitHub仓库中提取、处理和分析提交，以进行即时漏洞预测（JIT-VP）研究。 VulGuard自动挖掘提交历史，提取细粒度的代码更改、提交信息和软件工程指标，并对其进行格式化以便后续分析。 此外，它集成了几种最先进的漏洞预测模型，使研究人员能够以最小的设置训练、评估和比较模型。 通过在一个统一的框架中支持仓库级别的挖掘和模型级别的实验，VulGuard解决了软件安全研究中的可重复性和可扩展性等关键挑战。 VulGuard还可以轻松集成到CI/CD流水线中。 我们在两个有影响力的开源项目FFmpeg和Linux内核中展示了该工具的有效性，突显了其加速现实世界JIT-VP研究和促进标准化基准测试的潜力。 演示视频可在以下链接查看：https://youtu.be/j96096-pxbs 显示英文摘要

摘要： We present VulGuard, an automated tool designed to streamline the extraction, processing, and analysis of commits from GitHub repositories for Just-In-Time vulnerability prediction (JIT-VP) research. VulGuard automatically mines commit histories, extracts fine-grained code changes, commit messages, and software engineering metrics, and formats them for downstream analysis. In addition, it integrates several state-of-the-art vulnerability prediction models, allowing researchers to train, evaluate, and compare models with minimal setup. By supporting both repository-scale mining and model-level experimentation within a unified framework, VulGuard addresses key challenges in reproducibility and scalability in software security research. VulGuard can also be easily integrated into the CI/CD pipeline. We demonstrate the effectiveness of the tool in two influential open-source projects, FFmpeg and the Linux kernel, highlighting its potential to accelerate real-world JIT-VP research and promote standardized benchmarking. A demo video is available at: https://youtu.be/j96096-pxbs