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PatchPorter: LLM-Driven Security Patch Porting via Version Tracing and Context Selection for NPM

2026-08-16 · Zenodo (CERN European Organization for Nuclear Research)

One-line summary

An AI research paper on PatchPorter: LLM-Driven Security Patch Porting via Version Tracing and Context Selection for NPM.

Engineering notes

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Chinese explanation / 中文解读

中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

This is the research artifact accompanying the paper “PatchPorter: LLM-Driven Security Patch Porting via Version Tracing and Context Selection for NPM.” It provides the implementation of an automated pipeline for tracing security fixes across software versions, locating vulnerable code, selecting repair context, generating candidate backports with large language models, and validating the resulting patches with vulnerability-specific tests. The artifact also includes an evaluation dataset of 112 vulnerable NPM projects, together with vulnerability metadata, upstream security patches, version mappings, and Jest-based test oracles.

5.0Engineering value
7.0Research novelty
4.0Business relevance

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