Log Differencing using State Machines for Anomaly Detection

Huge amounts of log data are generated every day by software. These data contain valuable information about the behavior and the health of the system, which is rarely exploited, because of their volume and unstructured nature. Manually going through log files is a time-consuming and labor-intensive procedure for developers. Nonetheless logging...

Log Analysis from A to Z: A Literature Survey

Using logs to detect and diagnose problems in software systems is no longer a feasible human process. The ever increasing amount of logs produced by present-day systems calls for more advanced techniques to enable log analysis. A great deal of log research has since then been focused on abstracting over log messages, clever analysis techniques...