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A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
March 21, 2024, 4:10 a.m. | Tan Khang Le, Saba Alimadadi, Steven Y. Ko
cs.CR updates on arXiv.org arxiv.org
Abstract: In recent years, JavaScript has become the most widely used programming language, especially in web development. However, writing secure JavaScript code is not trivial, and programmers often make mistakes that lead to security vulnerabilities in web applications. Large Language Models (LLMs) have demonstrated substantial advancements across multiple domains, and their evolving capabilities indicate their potential for automatic code generation based on a required specification, including automatic bug fixing. In this study, we explore the accuracy …
applications arxiv code cs.ai cs.cr development javascript language language models large llms mistakes programmers programming programming language repair security study vulnerabilities vulnerability web web applications web development writing
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