Identifying Root-Cause Changes for User-Reported Incidents in Online Service Systems
Author:
Affiliation:
1. Peking University,Beijing,China
2. Alibaba Group,Hangzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10299935/10299936/10301247.pdf?arnumber=10301247
Reference39 articles.
1. Mining root cause knowledge from cloud service incident investigations for aiops;saha;44th IEEE/ACM International Conference on Software Engineering Software Engineering in Practice ICSE (SEIP) 2022,2022
2. Link prediction based on graph neural networks;zhang;NeurIPS,2018
3. Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports
4. Minimum Hellinger Distance Estimates for Parametric Models
5. Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports
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1. ChangeRCA: Finding Root Causes from Software Changes in Large Online Systems;Proceedings of the ACM on Software Engineering;2024-07-12
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