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数据库增强RAG用于REST API误用的自动修复
原标题：Database-Augmented RAG for Automated Repair of REST API Misuses
AI 摘要
该研究提出了一种基于数据库增强的检索增强生成（RAG）方法，用于自动修复REST API误用。研究构建了11种不同的RAG数据库配置，并在从SwitchBot和Fitbit收集的真实误用案例上进行了评估。结果显示，基线方法的修复率为54.3%，而使用四个数据库的RAG方法最高达到88.6%，表明按版本和内容类型组织规范可有效提升修复性能。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
Database-Augmented RAG for Automated Repair of REST API Misuses Abstract Many Internet of Things (IoT) services provide Representational State Transfer (REST) APIs, which require client developers to implement applications that conform to the corresponding API specifications. When client programs contain API misuse, developers debug them based on error responses. However, such responses are often insufficient for identifying the root cause, requiring developers to repeatedly communicate with th
发布时间：2026-09-01 12:00
抓取时间：2026-09-01 12:16
来源机构：arXiv