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 …

Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …

Software-intensive systems produce logs for troubleshooting purposes. Recently, many
deep learning models have been proposed to automatically detect system anomalies based …

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 …

Software systems often record important runtime information in system logs for
troubleshooting purposes. There have been many studies that use log data to construct …

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 …

Logs are widely used by large and complex software-intensive systems for troubleshooting.
There have been a lot of studies on log-based anomaly detection. To detect the anomalies …

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 …

Logs are imperative in the development and maintenance process of many software
systems. They record detailed runtime information that allows developers and support …

Log parsing transforms log messages into structured formats, serving as the prerequisite
step for various log analysis tasks. Although a variety of log parsing approaches have been …