Li, Ying

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models

Yu, H., Shen, B., Ran, D., Zhang, J., Zhang, Q., Ma, Y., Liang, G., Li, Y., Wang, Q., & Xie, T. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 140

A Survey of AIOps in the Era of Large Language Models

Zhang, L., Jia, T., Jia, M., Wu, Y., Liu, A., Yang, Y., Wu, Z., Hu, X., Yu, P., & Li, Y. (2026) · ACM Computing Surveys

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 49

AcLog: An Approach to Detecting Anomalies from System Logs with Active Learning

Duan, C., Jia, T., Li, Y., & Huang, G. (2023) · 2023 IEEE International Conference on Web Services (ICWS)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 20

AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning

Duan, C., Jia, T., Cai, H., Li, Y., & Huang, G. (2023) · 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 17

An empirical study on change-induced incidents of online service systems

Wu, Y., Chai, B., Li, Y., Liu, B., Li, J., Yang, Y., & Jiang, W. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Software Engineering ResearchSoftware System Performance and Reliability

Cited by 11