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 …

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 …

The detection of anomalies is an essential data mining task for achieving security and
reliability in computer systems. Logs are a common and major data source for anomaly …

Logs generated by large-scale software systems provide crucial information for engineers to
understand the system status and diagnose problems of the systems. Log parsing, which …

With the development of Artificial Intelligence (AI), Internet of Things (IoT), cloud computing,
new-generation mobile communication, etc., digital transformation is changing the technical …

Automated log analysis can facilitate failure diagnosis for developers and operators using a
large volume of logs. Log parsing is a prerequisite step for automated log analysis, which …

In this work we systematically review the recent advancements in code processing with
language models, covering 50+ models, 30+ evaluation tasks, 170+ datasets, and 700 …

Software logs play an essential role in ensuring the reliability and maintainability of large-
scale software systems, as they are often the sole source of runtime information. Log …

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

Detecting anomalies in distributed systems through log analysis remains challenging due to
the complex temporal dependencies between log events, the diverse manifestation of …