A survey on automated log analysis for reliability engineering

S He, P He, Z Chen, T Yang, Y Su, MR Lyu - ACM computing surveys …, 2021 - dl.acm.org
Logs are semi-structured text generated by logging statements in software source code. In
recent decades, software logs have become imperative in the reliability assurance …

Logbert: Log anomaly detection via bert

H Guo, S Yuan, X Wu - 2021 international joint conference on …, 2021 - ieeexplore.ieee.org
Detecting anomalous events in online computer systems is crucial to protect the systems
from malicious attacks or malfunctions. System logs, which record detailed information of …

Semi-supervised log-based anomaly detection via probabilistic label estimation

L Yang, J Chen, Z Wang, W Wang… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
With the growth of software systems, logs have become an important data to aid system
maintenance. Log-based anomaly detection is one of the most important methods for such …

Deeplog: Anomaly detection and diagnosis from system logs through deep learning

M Du, F Li, G Zheng, V Srikumar - … of the 2017 ACM SIGSAC conference …, 2017 - dl.acm.org
Anomaly detection is a critical step towards building a secure and trustworthy system. The
primary purpose of a system log is to record system states and significant events at various …

A survey of software log instrumentation

B Chen, ZM Jiang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Log messages have been used widely in many software systems for a variety of purposes
during software development and field operation. There are two phases in software logging …

Hitanomaly: Hierarchical transformers for anomaly detection in system log

S Huang, Y Liu, C Fung, R He, Y Zhao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Enterprise systems often produce a large volume of logs to record runtime status and events.
Anomaly detection from system logs is crucial for service management and system …

Lanobert: System log anomaly detection based on bert masked language model

Y Lee, J Kim, P Kang - Applied Soft Computing, 2023 - Elsevier
The system log generated in a computer system refers to large-scale data that are collected
simultaneously and used as the basic data for determining errors, intrusion and abnormal …

Experience report: Log mining using natural language processing and application to anomaly detection

C Bertero, M Roy, C Sauvanaud… - 2017 IEEE 28th …, 2017 - ieeexplore.ieee.org
Event logging is a key source of information on a system state. Reading logs provides
insights on its activity, assess its correct state and allows to diagnose problems. However …

Face it yourselves: An llm-based two-stage strategy to localize configuration errors via logs

S Shan, Y Huo, Y Su, Y Li, D Li, Z Zheng - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
Configurable software systems are prone to configuration errors, resulting in significant
losses to companies. However, diagnosing these errors is challenging due to the vast and …

Characterizing the natural language descriptions in software logging statements

P He, Z Chen, S He, MR Lyu - Proceedings of the 33rd ACM/IEEE …, 2018 - dl.acm.org
Logging is a common programming practice of great importance in modern software
development, because software logs have been widely used in various software …