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20242026
most citedA Survey on Failure Analysis and Fault Injection in AI Systems

3 citations · 3 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.SE2026

Trustworthy Runtime Error Healing in Real-World Repositories: A Benchmark and Guardrail

Gou Tan, Pengfei Chen, Zhensu Sun +9

Runtime error healing lets a crashed program continue by generating code that repairs its live runtime state. Recent work shows that LLMs can generate such healing code, but it is…

cs.SE2026

AgentChaos: Chaos Engineering for Agent Systems via Programmatic Fault Injection

Gou Tan, Zhensu Sun, Jieke Shi +10

Agent systems rely on LLM APIs for every response, but these APIs can return server errors, truncated responses, or corrupted content that propagates through downstream agents and…

cs.SE2026

SciCodePile: A 128GB Corpus and Executable Benchmark for Challenging Scientific Code Generation

Weifeng Sun, Ye Fan, Yuchen Chen +6

Large language models (LLMs) excel at general-purpose code generation, yet how well they handle scientific code remains an open question. Existing datasets and benchmarks are limit…

cs.SE2026

MetaRCA: A Generalizable Root Cause Analysis Framework for Cloud-Native Systems Powered by Meta Causal Knowledge

Shuai Liang, Pengfei Chen, Bozhe Tian +6

The dynamics and complexity of cloud-native systems present significant challenges for Root Cause Analysis (RCA). While causality-based RCA methods have shown significant progress…

cs.SE2026

LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis

Gou Tan, Zilong He, Min Li +8

LLM-integrated software, which embeds or interacts with large language models (LLMs) as functional components, exhibits probabilistic and context-dependent behaviors that fundament…

cs.SE2025

InferLog: Accelerating LLM Inference for Online Log Parsing via ICL-oriented Prefix Caching

Yilun Wang, Pengfei Chen, Haiyu Huang +5

Modern software systems generate massive volumes of runtime logs, necessitating efficient and accurate log parsing to enable critical downstream tasks such as anomaly detection and…

cs.SE2024★ 3 cited

A Survey on Failure Analysis and Fault Injection in AI Systems

Guangba Yu, Gou Tan, Haojia Huang +4

The rapid advancement of Artificial Intelligence (AI) has led to its integration into various areas, especially with Large Language Models (LLMs) significantly enhancing capabiliti…