SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice

In real-world microservice systems, the newly deployed service -one kind of change service, could lead to a new type of minority fault. Existing state-of-the-art (SOTA) methods for fault localization rarely consider the imbalanced fault classification in change service. This paper proposes a novel m...

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Bibliographic Details

Published in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 27 - 39
Main Authors:	Ren, Rui, Yang, Jingbang, Yang, Linxiao, Gu, Xinyue, Sun, Liang
Format:	Conference Proceeding
Language:	English
Published:	ACM 27.10.2024
Subjects:	Classification algorithms Debugging Imbalanced Classification Interpretability Location awareness Microserivce Fault Localization Microservice architectures Minorize-Maximization Reliability engineering Software Software algorithms Software engineering Software reliability Submodular Optimization Training
ISSN:	2643-1572
Online Access:	Get full text
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