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 …

In the past two decades, most research on anomaly detection has focused on improving the
accuracy of the detection, while largely ignoring the explainability of the corresponding …

Debugging software failures is still a painful, time consuming, and expensive process. For
instance, recent studies showed that debugging activities often account for about 50% of the …

Anomaly detection plays an important role in management of modern large-scale distributed
systems. Logs, which record system runtime information, are widely used for anomaly …

Performance and high availability have become increasingly important drivers, amongst
other drivers, for user retention in the context of web services such as social networks, and …

Over the last 20 years, runtime verification (RV) has grown into a diverse and active field,
which has stimulated the development of numerous theoretical frameworks and practical …

Today, software systems are getting increasingly large and complex and a short failure time
may cause huge loss. Therefore, it is important to detect and diagnose anomalies accurately …

Detecting execution anomalies is very important to monitoring and maintenance of cloud
systems. People often use execution logs for troubleshooting and problem diagnosis, which …

Logs are widely used for system behavior diagnosis by automatic log mining. Log parsing is
an important data preprocessing step that converts semi-structured log messages into …

Log-based anomaly detection plays an essential role in the fast-emerging Artificial
Intelligence for IT Operations (AIOps) of software systems. Many log-based anomaly …