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 …

Tools and benchmarks for automated log parsing

J Zhu, S He, J Liu, P He, Q **e… - 2019 IEEE/ACM 41st …, 2019 - ieeexplore.ieee.org
Logs are imperative in the development and maintenance process of many software
systems. They record detailed runtime information that allows developers and support …

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 …

Unilog: Automatic logging via llm and in-context learning

J Xu, Z Cui, Y Zhao, X Zhang, S He, P He, L Li… - Proceedings of the 46th …, 2024 - dl.acm.org
Logging, which aims to determine the position of logging statements, the verbosity levels,
and the log messages, is a crucial process for software reliability enhancement. In recent …

Llmparser: An exploratory study on using large language models for log parsing

Z Ma, AR Chen, DJ Kim, TH Chen, S Wang - Proceedings of the IEEE …, 2024 - dl.acm.org
Logs are important in modern software development with runtime information. Log parsing is
the first step in many log-based analyses, that involve extracting structured information from …

Logram: Efficient Log Parsing Using -Gram Dictionaries

H Dai, H Li, CS Chen, W Shang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Software systems usually record important runtime information in their logs. Logs help
practitioners understand system runtime behaviors and diagnose field failures. As logs are …

Loghub: A large collection of system log datasets for ai-driven log analytics

J Zhu, S He, P He, J Liu, MR Lyu - 2023 IEEE 34th International …, 2023 - ieeexplore.ieee.org
Logs have been widely adopted in software system development and maintenance because
of the rich runtime information they record. In recent years, the increase of software size and …

Heterogeneous anomaly detection for software systems via semi-supervised cross-modal attention

C Lee, T Yang, Z Chen, Y Su, Y Yang… - 2023 IEEE/ACM 45th …, 2023 - ieeexplore.ieee.org
Prompt and accurate detection of system anomalies is essential to ensure the reliability of
software systems. Unlike manual efforts that exploit all available run-time information …

Towards intelligent incident management: why we need it and how we make it

Z Chen, Y Kang, L Li, X Zhang, H Zhang, H Xu… - Proceedings of the 28th …, 2020 - dl.acm.org
The management of cloud service incidents (unplanned interruptions or outages of a
service/product) greatly affects customer satisfaction and business revenue. After years of …

Go static: Contextualized logging statement generation

Y Li, Y Huo, R Zhong, Z Jiang, J Liu, J Huang… - Proceedings of the …, 2024 - dl.acm.org
Logging practices have been extensively investigated to assist developers in writing
appropriate logging statements for documenting software behaviors. Although numerous …