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20242026
most citedA Survey of AIOps for Failure Management in the Era of Large Language Models

2 citations · 2 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

Bifrost: Empowering Pretrained Language Model with Fallibility Representation for Log-Based Fault Diagnosis

Minghua He, Tong Jia, Lingzhe Zhang +9

Log-based fault diagnosis is crucial for runtime debugging and maintenance. Existing fault diagnosis methods use language models pre-trained on natural language (PLMs) for log repr…

cs.SE2026

A Benchmark for Language Models in Real-World System Building

Weilin Jin, Chenyu Zhao, Zeshun Huang +12

During migration across instruction set architectures (ISAs), software package build repair is a critical task for ensuring the reliability of software deployment and the stability…

cs.SE2025

United We Stand: Towards End-to-End Log-based Fault Diagnosis via Interactive Multi-Task Learning

Minghua He, Chiming Duan, Pei Xiao +8

Log-based fault diagnosis is essential for maintaining software system availability. However, existing fault diagnosis methods are built using a task-independent manner, which fail…

cs.SE2025

Walk the Talk: Is Your Log-based Software Reliability Maintenance System Really Reliable?

Minghua He, Tong Jia, Chiming Duan +6

Log-based software reliability maintenance systems are crucial for sustaining stable customer experience. However, existing deep learning-based methods represent a black box for se…

cs.SE2024★ 2 cited

A Survey of AIOps for Failure Management in the Era of Large Language Models

Lingzhe Zhang, Tong Jia, Mengxi Jia +7

As software systems grow increasingly intricate, Artificial Intelligence for IT Operations (AIOps) methods have been widely used in software system failure management to ensure the…