Peng, Xin

Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study

Zhou, X., Peng, X., Xie, T., Sun, J., Ji, C., Li, W., & Ding, D. (2021) · IEEE Transactions on Software Engineering

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 410

Latent error prediction and fault localization for microservice applications by learning from system trace logs

Zhou, X., Peng, X., Xie, T., Sun, J., Ji, C., Liu, D., Xiang, Q., & He, C. (2019) · Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 277

MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems

Liu, D., He, C., Peng, X., Lin, F., Zhang, C., Gong, S., Li, Z., Ou, J., & Wu, Z. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 192

Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study

Guo, Q., Cao, J., Xie, X., Liu, S., Li, X., Chen, B., & Peng, X. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 140

Enjoy your observability: an industrial survey of microservice tracing and analysis

Li, B., Peng, X., Xiang, Q., Wang, H., Xie, T., Sun, J., & Liu, X. (2022) · Empirical Software Engineering

Software System Performance and ReliabilitySoftware Engineering Techniques and Practices

Cited by 121

Graph-based trace analysis for microservice architecture understanding and problem diagnosis

Guo, X., Peng, X., Wang, H., Li, W., Jiang, H., Ding, D., Xie, T., & Su, L. (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 118

What help do developers seek, when and how?

Li, H., Xing, Z., Peng, X., & Zhao, W. (2013) · 2013 20th Working Conference on Reverse Engineering (WCRE)

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 81

Large Language Model-Based Agents for Software Engineering: A Survey

Liu, J., Wang, K., Chen, Y., Peng, X., Chen, Z., Zhang, L., & Lou, Y. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 49

Detecting differences across multiple instances of code clones

Lin, Y., Xing, Z., Xue, Y., Liu, Y., Peng, X., Sun, J., & Zhao, W. (2014) · Proceedings of the 36th International Conference on Software Engineering

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 41

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation

Wang, C., Zhang, J., Feng, Y., Li, T., Sun, W., Liu, Y., & Peng, X. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTopic Modeling

Cited by 40

PUTraceAD: Trace Anomaly Detection with Partial Labels based on GNN and PU Learning

Zhang, K., Zhang, C., Peng, X., & Sha, C. (2022) · 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 33