English(EN) PRAXIS: Integrating Program Analysis with Observability for Root-Cause Analysis

PRAXIS系统使用LLM自动化云事件的根本原因分析

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-28 04:00

研究人员开发了PRAXIS，一个旨在诊断和解决由代码或配置错误引起的云事件的新系统。PRAXIS采用LLM驱动的方法来遍历服务依赖图和程序依赖图，从而实现更准确的根本原因分析。在评估中，PRAXIS在准确性方面比现有方法有了显著提高，同时还减少了计算资源的使用。 AI

影响引入了一种新颖的LLM驱动的自动化根本原因分析方法，有可能减少云事件的解决时间和成本。

排序理由这是一篇介绍用于云事件根本原因分析的新系统的研究论文。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Research; 这是一篇介绍用于云事件根本原因分析的新系统的研究论文。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 163 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

arXiv cs.AI TIER_1 English(EN) · Shengkun Cui, Rahul Krishna, Saurabh Jha, Ravishankar K. Iyer · 2026-04-28 04:00

PRAXIS：集成程序分析与可观测性以进行根本原因分析

arXiv:2512.22113v2 Announce Type: replace-cross Abstract: Unresolved production cloud incidents cost an average of over $2M per hour. This paper introduces PRAXIS, an orchestrator that manages and deploys an agentic workflow for diagnosing code- and configuration-caused cloud inc…