TianoForge: An Automated Bug Triage Approach for the TianoCore UEFI Firmware Development Community
- 类型：arxiv
- 标识：2608.23259
- 链接：http://arxiv.org/abs/2608.23259v1
- 主分类：rag
- 形态：application
- TLDR：We propose a novel approach to bug triage in the TianoCore open-source UEFI firmware development ecosystem. This integrated approach, called TianoForge, deploys the state of the art in artificial intelligence, specifically machine learning, to enable automated bug triage. This includes invalid bug report detection, duplicate bug report detection, bug report prioritization, and bug report assignment. We use various Generative Pretrained Transformer (GPT) Large Language Models (LLMs) with and without Retrieval Augmented Generation (RAG) to automate these tasks. Given the crucial role of bug tria
- 待LLM分类：否
- 标题中文：TianoForge：面向 TianoCore UEFI 固件开发社区的自动化 Bug 分流方法
- TLDR中文：我们提出了一种面向 TianoCore 开源 UEFI 固件开发生态中缺陷分诊的新方法。该集成方法名为 TianoForge，部署了人工智能（特别是机器学习）领域的前沿技术，以实现自动化的缺陷分诊，包括无效缺陷报告检测、重复缺陷报告检测、缺陷报告优先级排序以及缺陷报告分配。我们使用多种 Generative Pretrained Transformer (GPT) Large Language Models (LLMs)，结合与不结合 Retrieval Augmented Generation (RAG)，来完成这些任务。鉴于缺陷分诊在
- 来源文件：
- /inbox/tom/_candidates/2026-08-25-agent-rag-longcontext-candidates.json