SLIM: A Scalable Light-Weight Root Cause Analysis for Imbalanced Data in Microservice

• Published in: Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) pp. 328 - 330
• Main Authors: Ren, Rui, Yang, Jingbang, Yang, Linxiao, Gu, Xinyue, Sun, Liang
• Format: Conference Proceeding
• Language: English
• Published: ACM 14.04.2024
• Subjects: Accuracy; Classification algorithms; imbalanced classification; interpretability; Location awareness; microserivce fault localization; Microservice architectures; minorize-maximization; Root cause analysis; Software engineering; submodular optimization; Training

The newly deployed service - one kind of change service, could lead to a new type of minority fault. Existing state-of-the-art methods for fault localization rarely consider the imbalanced fault classification in change service. This paper proposes a novel method that utilizes decision rule sets to...