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 …

Software systems usually record important runtime information in their logs. Logs help
practitioners understand system runtime behaviors and diagnose field failures. As logs are …

System logs are widely used in various tasks of software system management. It is crucial to
avoid logging too little or too much. To achieve so, developers need to make informed …

System event logs have been frequently used as a valuable resource in data-driven
approaches to enhance system health and stability. A typical procedure in system log …

Logs are an essential source of information for people to understand the running status of a
software system. Due to the evolving modern software architecture and maintenance …

Many software engineering research papers rely on time-based data (eg, commit
timestamps, issue report creation/update/close dates, release dates). Like most real-world …

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 …

Software developers typically insert logging statements in their source code to record
runtime information. However, providing proper logging statements remains a challenging …

Abstract SaaS (Software-as-a-Service) is a service model provided by cloud computing. It
has a high requirement for QoS (Quality of Software) due to its method of providing software …

Log data is pivotal in activities like anomaly detection and failure diagnosis in the automated
maintenance of software systems. Due to their unstructured format, log parsing is often …