| Fault analysis and debugging of microservice systems: Industrial survey, benchmark system, and empirical study X Zhou, X Peng, T Xie, J Sun, C Ji, W Li, D Ding IEEE Transactions on Software Engineering 47 (2), 243-260, 2018 | 380 | 2018 |
| Fault analysis and debugging of microservice systems: Industrial survey, benchmark system, and empirical study X Zhou, X Peng, T Xie, J Sun, C Ji, W Li, D Ding IEEE Transactions on Software Engineering 47 (2), 243-260, 2018 | 380 | 2018 |
| Latent error prediction and fault localization for microservice applications by learning from system trace logs X Zhou, X Peng, T Xie, J Sun, C Ji, D Liu, Q Xiang, C He Proceedings of the 2019 27th ACM joint meeting on European software …, 2019 | 258 | 2019 |
| Benchmarking microservice systems for software engineering research X Zhou, X Peng, T Xie, J Sun, C Xu, C Ji, W Zhao Proceedings of the 40th International Conference on Software Engineering …, 2018 | 203 | 2018 |
| An empirical study of usages, updates and risks of third-party libraries in java projects Y Wang, B Chen, K Huang, B Shi, C Xu, X Peng, Y Wu, Y Liu 2020 IEEE International Conference on Software Maintenance and Evolution …, 2020 | 141 | 2020 |
| No more manual tests? evaluating and improving chatgpt for unit test generation Z Yuan, Y Lou, M Liu, S Ding, K Wang, Y Chen, X Peng arXiv preprint arXiv:2305.04207, 2023 | 132 | 2023 |
| Deeptralog: Trace-log combined microservice anomaly detection through graph-based deep learning C Zhang, X Peng, C Sha, K Zhang, Z Fu, X Wu, Q Lin, D Zhang Proceedings of the 44th international conference on software engineering …, 2022 | 122 | 2022 |
| Improving api caveats accessibility by mining api caveats knowledge graph H Li, S Li, J Sun, Z Xing, X Peng, M Liu, X Zhao 2018 IEEE International Conference on Software Maintenance and Evolution …, 2018 | 122 | 2018 |
| Collaborative software development platforms for crowdsourcing X Peng, MA Babar, C Ebert IEEE software 31 (2), 30-36, 2014 | 115 | 2014 |
| What help do developers seek, when and how? H Li, Z Xing, X Peng, W Zhao 2013 20th working conference on reverse engineering (WCRE), 142-151, 2013 | 115 | 2013 |
| Classeval: A manually-crafted benchmark for evaluating llms on class-level code generation X Du, M Liu, K Wang, H Wang, J Liu, Y Chen, J Feng, C Sha, X Peng, ... arXiv preprint arXiv:2308.01861, 2023 | 114 | 2023 |
| Graph-based trace analysis for microservice architecture understanding and problem diagnosis X Guo, X Peng, H Wang, W Li, H Jiang, D Ding, T Xie, L Su Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 112 | 2020 |
| Demystifying the vulnerability propagation and its evolution via dependency trees in the npm ecosystem C Liu, S Chen, L Fan, B Chen, Y Liu, X Peng Proceedings of the 44th International Conference on Software Engineering …, 2022 | 110 | 2022 |
| Interactive and guided architectural refactoring with search-based recommendation Y Lin, X Peng, Y Cai, D Dig, D Zheng, W Zhao Proceedings of the 2016 24th ACM SIGSOFT International Symposium on …, 2016 | 109 | 2016 |
| How developers perform feature location tasks: a human‐centric and process‐oriented exploratory study J Wang, X Peng, Z Xing, W Zhao Journal of Software: Evolution and Process 25 (11), 1193-1224, 2013 | 109* | 2013 |
| Self-tuning of software systems through dynamic quality tradeoff and value-based feedback control loop X Peng, B Chen, Y Yu, W Zhao Journal of Systems and Software 85 (12), 2707-2719, 2012 | 104* | 2012 |
| Enjoy your observability: an industrial survey of microservice tracing and analysis B Li, X Peng, Q Xiang, H Wang, T Xie, J Sun, X Liu Empirical Software Engineering 27, 1-28, 2022 | 99 | 2022 |
| Microhecl: High-efficient root cause localization in large-scale microservice systems D Liu, C He, X Peng, F Lin, C Zhang, S Gong, Z Li, J Ou, Z Wu 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 98 | 2021 |
| Delta debugging microservice systems with parallel optimization X Zhou, X Peng, T Xie, J Sun, C Ji, W Li, D Ding IEEE Transactions on Services Computing 15 (1), 16-29, 2019 | 88* | 2019 |
| Exploring the potential of chatgpt in automated code refinement: An empirical study Q Guo, J Cao, X Xie, S Liu, X Li, B Chen, X Peng Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024 | 83 | 2024 |
Bihuan ChenAssociate Professor, Fudan UniversityEmail yang diverifikasi di fudan.edu.cn
