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20222025
most citedCausal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition

92 citations · 159 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.SE2025

LogSage: An LLM-Based Framework for CI/CD Failure Detection and Remediation with Industrial Validation

Weiyuan Xu, Juntao Luo, Tao Huang +7

Continuous Integration and Deployment (CI/CD) pipelines are critical to modern software engineering, yet diagnosing and resolving their failures remains complex and labor-intensive…

cs.SE2025

BitsAI-CR: Automated Code Review via LLM in Practice

Tao Sun, Jian Xu, Yuanpeng Li +9

Code review remains a critical yet resource-intensive process in software development, particularly challenging in large-scale industrial environments. While Large Language Models…

cs.SE2023

Generic and Robust Root Cause Localization for Multi-Dimensional Data in Online Service Systems

Zeyan Li, Junjie Chen, Yihao Chen +9

Localizing root causes for multi-dimensional data is critical to ensure online service systems' reliability. When a fault occurs, only the measure values within specific attribute…

cs.SE2022★ 67 cited

Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems

Zeyan Li, Nengwen Zhao, Mingjie Li +11

Fault localization is challenging in an online service system due to its monitoring data's large volume and variety and complex dependencies across or within its components (e.g.,…

cs.SE2022★ 92 cited

Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition

Mingjie Li, Zeyan Li, Kanglin Yin +4

Fault diagnosis is critical in many domains, as faults may lead to safety threats or economic losses. In the field of online service systems, operators rely on enormous monitoring…