Drain: An online log parsing approach with fixed depth tree P He, J Zhu, Z Zheng, MR Lyu 2017 IEEE international conference on web services (ICWS), 33-40, 2017 | 623 | 2017 |
Experience report: System log analysis for anomaly detection S He, J Zhu, P He, MR Lyu 2016 IEEE 27th International Symposium on Software Reliability Engineering …, 2016 | 606 | 2016 |
Tools and benchmarks for automated log parsing J Zhu, S He, J Liu, P He, Q Xie, Z Zheng, MR Lyu 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 482* | 2019 |
Software defect prediction via convolutional neural network J Li, P He, J Zhu, MR Lyu 2017 IEEE International Conference on Software Quality, Reliability and …, 2017 | 472 | 2017 |
An evaluation study on log parsing and its use in log mining P He, J Zhu, S He, J Li, MR Lyu 2016 46th annual IEEE/IFIP international conference on dependable systems …, 2016 | 292 | 2016 |
Learning to log: Helping developers make informed logging decisions J Zhu, P He, Q Fu, H Zhang, MR Lyu, D Zhang 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 263 | 2015 |
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics J Zhu, S He, P He, J Liu, MR Lyu arXiv e-prints, arXiv: 2008.06448, 2020 | 234* | 2020 |
Towards automated log parsing for large-scale log data analysis P He, J Zhu, S He, J Li, MR Lyu IEEE Transactions on Dependable and Secure Computing 15 (6), 931-944, 2017 | 221 | 2017 |
A survey on automated log analysis for reliability engineering S He, P He, Z Chen, T Yang, Y Su, MR Lyu ACM Computing Surveys (CSUR) 54 (6), 1-37, 2021 | 172 | 2021 |
Location-based hierarchical matrix factorization for web service recommendation P He, J Zhu, Z Zheng, J Xu, MR Lyu 2014 IEEE international conference on web services, 297-304, 2014 | 128 | 2014 |
A privacy-preserving qos prediction framework for web service recommendation J Zhu, P He, Z Zheng, MR Lyu 2015 IEEE International Conference on Web Services, 241-248, 2015 | 121 | 2015 |
Online QoS prediction for runtime service adaptation via adaptive matrix factorization J Zhu, P He, Z Zheng, MR Lyu IEEE Transactions on Parallel and Distributed Systems 28 (10), 2911-2924, 2017 | 120 | 2017 |
Characterizing the natural language descriptions in software logging statements P He, Z Chen, S He, MR Lyu Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 97 | 2018 |
Structure-invariant testing for machine translation P He, C Meister, Z Su Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 76 | 2020 |
Logzip: extracting hidden structures via iterative clustering for log compression J Liu, J Zhu, S He, P He, Z Zheng, MR Lyu 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 65 | 2019 |
Paid: Prioritizing app issues for developers by tracking user reviews over versions C Gao, B Wang, P He, J Zhu, Y Zhou, MR Lyu 2015 IEEE 26th International Symposium on Software Reliability Engineering …, 2015 | 48 | 2015 |
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher Y Yuan, W Jiao, W Wang, J Huang, P He, S Shi, Z Tu arXiv preprint arXiv:2308.06463, 2023 | 42 | 2023 |
Testing Machine Translation via Referential Transparency P He, C Meister, Z Su 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 40 | 2021 |
Machine translation testing via pathological invariance S Gupta, P He, C Meister, Z Su Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 40 | 2020 |
A directed acyclic graph approach to online log parsing P He, J Zhu, P Xu, Z Zheng, MR Lyu arXiv preprint arXiv:1806.04356, 2018 | 38 | 2018 |