Log analysis is a technique of deriving knowledge from log files containing records of events
in a computer system. A common application of log analysis is to derive critical information …

Logging is a common practice in software engineering to provide insights into working
systems. The main uses of log files have always been failure identification and root cause …

Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …

Logs are used to record runtime states and significant events for a software system. They are
widely used for anomaly detection. Logs produced by most of the real-world systems show …

The fifth generation (5G) RAN is a complex system consisting of virtualized and distributed
parts with many concurrent threads interacting. Several services are time critical, and it is …

The Internet of Medical Things (IoMT), aided by learning-enabled components, is becoming
increasingly important in health monitoring. However, the IoMT-based system must be highly …

Log anomaly detection serves as an effective approach for identifying threats. Autoencoder-
based detection methods address positive and negative sample imbalance issues and have …

Network log analysis helps network operators to troubleshoot their network. Many
mathematical analysis methods rely on a set of time series corresponding to log type (log …

The substantial log data present in software testing processes are often the primary and
sometimes the sole source of information for test engineers to understand and debug …

In recent years, with the increasing complexity of software systems, logs have become
crucial for system maintenance. Log-based anomaly detection plays a vital role in …