Li, Zeyan

Practical Root Cause Localization for Microservice Systems via Trace Analysis

Li, Z., Chen, J., Jiao, R., Zhao, N., Wang, Z., Zhang, S., Wu, Y., Jiang, L., Yan, L., Wang, Z., et al. (2021) · 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 159

An empirical investigation of practical log anomaly detection for online service systems

Zhao, N., Wang, H., Li, Z., Peng, X., Wang, G., Pan, Z., Wu, Y., Feng, Z., Wen, X., Zhang, W., et al. (2021) · Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 77

Flow-of-action: SOP-enhanced LLM-based multi-agent system for root cause analysis

Pei, C., Wang, Z., Liu, F., Li, Z., Liu, Y., He, X., Kang, R., Zhang, T., Chen, J., Li, J., et al. (2025) · Companion Proceedings of the ACM on Web Conference 2025

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 33

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Li, Z., Zhao, N., Zhang, S., Sun, Y., Chen, P., Wen, X., Ma, M., & Pei, D. (2022) · arXiv

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 11