Log Parsing Evaluation in the Era of Modern Software Systems
Author:
Affiliation:
1. Leibniz University Hannover,Dependable and Scalable Software Systems
2. ING Analytics,Amsterdam,The Netherlands
3. DFINITY,Zurich,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10299935/10299936/10301279.pdf?arnumber=10301279
Reference51 articles.
1. A systematic literature review on automated log abstraction techniques
2. A comprehensive survey of logging in software: From logging statements automation to log mining and analysis;gholamian;CoRR,2021
3. UniParser: A Unified Log Parser for Heterogeneous Log Data
4. System log parsing: A survey;zhang,2022
5. Mining Historical Test Logs to Predict Bugs and Localize Faults in the Test Logs
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. LILAC: Log Parsing using LLMs with Adaptive Parsing Cache;Proceedings of the ACM on Software Engineering;2024-07-12
2. Landscape and Taxonomy of Online Parser-Supported Log Anomaly Detection Methods;IEEE Access;2024
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