Lyu, Michael R.

Drain: an online log parsing approach with fixed depth tree

He, P., Zhu, J., Zheng, Z., & Lyu, M. R. (2017) · 2017 IEEE International Conference on Web Services (ICWS)

Software System Performance and ReliabilityAdvanced Database Systems and Queries

Cited by 943

Tools and benchmarks for automated log parsing

Zhu, J., He, S., Liu, J., He, P., Xie, Q., Zheng, Z., & Lyu, M. R. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 574

A Survey on Automated Log Analysis for Reliability Engineering

He, S., He, P., Chen, Z., Yang, T., Su, Y., & Lyu, M. R. (2022) · ACM Computing Surveys

Software System Performance and ReliabilitySoftware Reliability and Analysis Research

Cited by 334

Loghub: a large collection of system log datasets for AI-driven log analytics

Zhu, J., He, S., He, P., Liu, J., & Lyu, M. R. (2023) · 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 302

Towards Automated Log Parsing for Large-Scale Log Data Analysis

He, P., Zhu, J., He, S., Li, J., & Lyu, M. R. (2018) · IEEE Transactions on Dependable and Secure Computing

Software System Performance and ReliabilityAdvanced Database Systems and Queries

Cited by 230

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data

Lee, C., Yang, T., Chen, Z., Su, Y., & Lyu, M. R. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 149

What Makes Good In-Context Demonstrations for Code Intelligence Tasks with LLMs?

Gao, S., Wen, X.-C., Gao, C., Wang, W., Zhang, H., & Lyu, M. R. (2023) · 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Software Engineering ResearchTopic Modeling

Cited by 106

Towards intelligent incident management: why we need it and how we make it

Chen, Z., Kang, Y., Li, L., Zhang, X., Zhang, H., Xu, H., Zhou, Y., Yang, L., Sun, J., Xu, Z., et al. (2020) · Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 99

BiasAsker: Measuring the Bias in Conversational AI System

Wan, Y., Wang, W., He, P., Gu, J., Bai, H., & Lyu, M. R. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 54

Adaptive performance anomaly detection for online service systems via pattern sketching

Chen, Z., Liu, J., Su, Y., Zhang, H., Ling, X., Yang, Y., & Lyu, M. R. (2022) · Proceedings of the 44th International Conference on Software Engineering

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 52

Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling

Gao, Y., Li, P., King, I., & Lyu, M. R. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingSpeech and dialogue systems

Cited by 44

BinaryBERT: Pushing the Limit of BERT Quantization

Bai, H., Zhang, W., Hou, L., Shang, L., Jin, J., Jiang, X., Liu, Q., Lyu, M., & King, I. (2020) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 42

Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench

Huang, J.-T., Lam, M. H., Li, E. J., Ren, S., Wang, W., Jiao, W., Tu, Z., & Lyu, M. R. (2023) · arXiv

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 14

LogUpdater : Automated Detection and Repair of Specific Defects in Logging Statements

Zhong, R., Li, Y., Kuang, J., Gu, W., Huo, Y., & Lyu, M. R. (2026) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 7

Software reliability: to use or not to use?

Lyu, M. R. (2002) · Proceedings of 1994 IEEE International Symposium on Software Reliability Engineering

Software Reliability and Analysis ResearchReliability and Maintenance Optimization

Cited by 5

The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation

Gao, S., Wang, C., Gao, C., Jiao, X., Chong, C. Y., Gao, S., & Lyu, M. (2025) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 2

On the Shortcut Learning in Multilingual Neural Machine Translation

Wang, W., Jiao, W., Huang, J.-T., Tu, Z., & Lyu, M. R. (2023) · SSRN Electronic Journal

Natural Language Processing TechniquesTopic Modeling

Cited by 1

On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Huang, J.-T., Zhou, J., Jin, T., Zhou, X., Chen, Z., Wang, W., Yuan, Y., Lyu, M. R., & Sap, M. (2024) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 1