3 papers
cs.SE2025
Cross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning
Yuqing Wang, Mika V. Mäntylä, Serge Demeyer +3
Microservice-based systems (MSS) may fail with various fault types. While existing AIOps methods excel at detecting abnormal traces and locating the responsible service(s), human e…
cs.SE2025
Cross-System Software Log-based Anomaly Detection Using Meta-Learning
Yuqing Wang, Mika V. Mäntylä, Jesse Nyyssölä +2
Modern software systems produce vast amounts of logs, serving as an essential resource for anomaly detection. Artificial Intelligence for IT Operations (AIOps) tools have been deve…
cs.SE2024
Speed and Performance of Parserless and Unsupervised Anomaly Detection Methods on Software Logs
Jesse Nyyssölä, Mika Mäntylä
Software log analysis can be laborious and time consuming. Time and labeled data are usually lacking in industrial settings. This paper studies unsupervised and time efficient meth…