 | Guoping Rong, Ph.D. Researcher at School of Software Engineering, Nanjing University Ph.D. Supervisor Director of the Nanjing University-Transwarp "XingYun" Data Technology Joint Research Center Research Interests: Intelligent Software Engineering, DevOps, AIOps Dr. Rong has led and participated in multiple national and provincial-level research projects. He has published over 70 papers in top-tier journals such as TSE, TOSEM, TDSC, IST, SPE, JSS, and JoS, as well as at premier international conferences including ICSE, ASE, FSE, ISSTA, ISSRE, and ICSME. He spearheaded the development of CarLLM, the first large language model for code review with Chain-of-Thought (CoT) capabilities, which remains a leader in the field. As the chief architect, he led the formulation of China's national standard DevOps Maturity Model (DOMM). |
Address: Feiyimin Building, B917@NJU; Email：ronggp@nju.edu.cn; Phone: +86-25-83621362 ext. 938
Research Focus
z Intelligent Software Engineering
Focuses on leveraging large language models (LLMs) to enhance the intelligence of software engineering processes. Key research topics include data preparation, model fine-tuning and alignment, and Chain-of-Thought (CoT) construction and verification.
z DevOps
Investigates end-to-end intelligent and automated techniques, the development and improvement of national standard process frameworks, and metrics and optimization for R&D efficiency.
z AIOps
Explores anomaly detection, root cause localization, log management practices, and data governance in complex distributed systems.
Selected Paper
2025：
1. Yongda Yu, Guoping Rong*, Haifeng Shen, He Zhang, Dong Shao, Min Wang, Zhao Wei, Yong Xu, Juhong Wang: Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review. ACM Transactions on Software Engineering Methodology. 34(1): 14:1-14:26 (2025) (TOSEM, CCF-A)
2. Guoping Rong, Yongda Yu, Song Liu, Xin Tan, Tianyi Zhang, Haifeng Shen, Jidong Hu, Code Comment Inconsistency Detection and Rectification, in Proceedings of the 47th International Conference on Software Engineering (ICSE'25), 2025. (to appear) (ICSE, CCF-A)
2024：
3. Guoping Rong, Yongda Yu, Yifan Zhang, He Zhang, Haifeng Shen, Dong Shao, Hongyu Kuang, Min Wang, Zhao Wei, Yong Xu, Juhong Wang: Distilling Quality Enhancing Comments From Code Reviews to Underpin Reviewer Recommendation. IEEE Transactions on Software Engineering. 50(7): 1658-1674 (2024). (TSE, CCF-A)
4. Hui Gao, Hongyu Kuang, Wesley K. G. Assunção, Christoph Mayr-Dorn, Guoping Rong, He Zhang, Xiaoxing Ma, Alexander Egyed: TRIAD: Automated Traceability Recovery based on Biterm-enhanced Deduction of Transitive Links among Artifacts. ICSE 2024: 216:1-216:13. (ICSE, CCF-A)
5. Jun Lyu, Shanshan Li, He Zhang, Yang Zhang, Guoping Rong, Manuel Rigger: Detecting Build Dependency Errors in Incremental Builds. ISSTA 2024: 1-12. (ISSTA, CCF-A)
6. Kexin Sun, Yiding Ren, Hongyu Kuang, Hui Gao, Xiaoxing Ma, Guoping Rong, Dong Shao, He Zhang: AVIATE: Exploiting Translation Variants of Artifacts to Improve IR-based Traceability Recovery in Bilingual Software Projects. ASE 2024: 519-530. (ASE, CCF-A)
2023：
7. Guoping Rong, Hao Wang, Shenghui Gu, Yangchen Xu, Jialin Sun, Dong Shao, He Zhang: Locating Anomaly Clues for Atypical Anomalous Services: An Industrial Exploration. IEEE Transactions on Dependable and Secure Computing 20(4): 2746-2761 (2023). (TDSC, CCF-A)
8. Shenghui Gu, Guoping Rong*, Tian Ren, He Zhang, Haifeng Shen, Yongda Yu, Xian Li, Jian Ouyang, Chunan Chen: TrinityRCL: Multi-Granular and Code-Level Root Cause Localization Using Multiple Types of Telemetry Data in Microservice Systems. IEEE Transactions on Software Engineering. 49(5): 3071-3088 (2023). (TSE, CCF-A)
9. Shenghui Gu, Guoping Rong*, He Zhang, Haifeng Shen: Logging Practices in Software Engineering: A Systematic Mapping Study. IEEE Transactions on Software Engineering. 49(2): 902-923 (2023). (TSE, CCF-A)
10. Guoping Rong, Shenghui Gu, Haifeng Shen, He Zhang, Hongyu Kuang: How Do Developers' Profiles and Experiences Influence their Logging Practices? An Empirical Study of Industrial Practitioners. ICSE 2023: 855-867. (ICSE, CCF-A)
2022：
11. Guoping Rong, Yifan Zhang, Lanxin Yang, Fuli Zhang, Hongyu Kuang and He Zhang, Modeling Review History for Reviewer Recommendation: A Hypergraph Approach. in Proceedings of the 44th International Conference on Software Engineering (ICSE'22), ACM, 2022. (ICSE, CCF-A)
Research Keywords (Last 3 Years)
The word cloud below highlights our key research focuses based on recent publications.
