Publications

Papers

• Zixiao Zhao, Yanjie Jiang*, Hui Liu, Kui Liu, Lu Zhang: SeRe: A Security-Related Code Review Dataset Aligned with Real-World Review Activities. In ICSE 2026, CCF-A.
  

• Waseem Akram, Yanjie Jiang, Haris Ali Khan, Furqan Jalil, Hui Liu: LLM-based API Argument Completion with Knowledge-Augmented Prompts. In ICSE 2026, CCF-A.
  

• Yanjie Jiang, Chenxu Li, Zixiao Zhao, Fu Fan, Lu Zhang and Hui Liu: Evaluating and Improving GPT-Based Expansion of Abbreviations. In TSE 2025, CCF-A.
  

• Qingyuan Liang, Zhao Zhang, Chen Liu, Zeyu Sun, Wenjie Zhang, Yizhou Chen, Zixiao Zhao, Qi Luo, Wentao Wang, Yanjie Jiang, Yingfei Xiong, Lu Zhang: Condor: A Code Discriminator Integrating General Semantics with Code Details. In TSE 2025, CCF-A.
  

• Taiming Wang, Yanjie Jiang*, Chunhao Dong, Yuxia Zhang, and Hui Liu: Wired for Reuse: Automating Context-Aware Code Adaptation in IDEs via LLM-Based Agent. In ASE 2025, CCF-A.
  

• Yuxin Zhang, Yuxia Zhang, Zeyu Sun, Yanjie Jiang, Hui Liu: LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM. In ASE 2025, CCF-A.
  

• Chen Yang, Ziqi Wang, Yanjie Jiang, Lin Yang, Yuteng Zheng, Jianyi Zhou, Junjie Chen: Reflective Unit Test Generation for Precise Type Error Detection with Large Language Models. In ASE 2025, CCF-A.
  

• Bridget Nyirongo, Yanjie Jiang, Nan Niu, and Hui Liu: An Empirical Study of Software Refactorings in Real-World Open-Source Java Projects. In TSE 2025, CCF-A.
  

• Wei Wei, Yanjie Jiang, Yahui Li, Lu Zhang, Hui Liu: OneMoreTest: A Learning-Based Approach to Generating and Selecting Fault-Revealing Unit Tests. In TSE 2025, CCF-A.
  

• Hanlin Tang, Yanjie Jiang*, Yuxia Zhang, Nan Niu, Hui Liu: POS Tagging on Code Identifiers: How Far Are We? In TOSEM 2025, CCF-A.
  

• Bo Liu, Yanjie Jiang*, Yuxia Zhang, Nan Niu, Guangjie Li, Hui Liu: Exploring the Potential of General Purpose LLMs in Automated Software Refactoring: An Empirical Study. In ASE(J) 2025.
  

• Yanjie Jiang, Hui Liu, Jinyan Liu, Yuxia Zhang, Weixing Ji, Hao Zhong, and Lu Zhang: An Empirical Study on the Relationship Between Defects and Source Code's Unnaturalness. In TOSEM 2025, CCF-A.
  

• Chunhao Dong#, Yanjie Jiang#, Yuxia Zhang, Yang Zhang, and Hui Liu: ChatGPT-Based Test Generation for Refactoring Engines Enhanced by Feature Analysis on Examples. In ICSE 2025, CCF-A.
  

• Waseem Akram, Yanjie Jiang*, Yuxia Zhang, Haris Ali Khan, and Hui Liu: LLM-based Method Name Suggestion with Automatically Generated Context-Rich Prompts. In FSE 2025, CCF-A.
  

• Haris Ali Khan, Yanjie Jiang*, Qasim Umer, Yuxia Zhang, Waseem Akram, and Hui Liu: Has My Code Been Stolen for Model Training? A Naturalness Based Approach to Code Contamination Detection. In FSE 2025, CCF-A.
  

• Bo Liu, Hui Liu, Nan Niu, Yuxia Zhang, Guangjie Li, He Jiang, and Yanjie Jiang*: An Automated Approach to Discovering Software Refactorings by Comparing Successive Versions. In TSE 2025, CCF-A.
  

• Yanjie Jiang, Xiaye Chi, Yuxia Zhang, Weixing Ji, Guangjie Li, Weixiao Wang, Yunni Xia, Lu Zhang, Hui Liu: Automated Recommendation of Extracting Local Variable Refactorings. In TOSEM 2025, CCF-A.
  

• Taiming Wang, Hui Liu, Yuxia Zhang, Yanjie Jiang*: Recommending Variable Names for Extract Local Variable Refactorings. In TOSEM 2024, CCF-A.
  

• Fu Fan#, Yanjie Jiang#, Tianyi Chen, Hengshun Zhang, Yuxia Zhang, Nan Niu, Hui Liu: An Empirical Study on Common Sense-Violating Bugs in Mobile Apps. In TOSEM 2024, CCF-A.
  

• Tianyi Chen#, Yanjie Jiang#, Fu Fan, Bo Liu, Hui Liu: A Position-Aware Approach to Decomposing God Classes. In ASE 2024, CCF-A.
  

• Yanjie Jiang, Hui Liu, Cheung Shing-Chi, Zhang Lu: Shortening Overlong Method Names with Abbreviations. In TOSEM 2024, CCF-A.
  

• Chunhao Dong#, Yanjie Jiang#, Nan Niu, Yuxia Zhang, Hui Liu: Context-Aware Name Recommendation for Field Renaming. In ICSE 2024, CCF-A.
  

• Bo Liu, Hui Liu, Nan Niu, Yuxia Zhang, Guangjie Li, Yanjie Jiang : Automated Software Entity Matching Between Successive Versions. In ASE 2023, CCF-A.
  

• Xiaye Chi, Hui Liu, Guangjie Li, Weixiao Wang, Yunni Xia, Yanjie Jiang, Yuxia Zhang, and Weixing Ji： An Automated Approach to Extracting Local Variables. In ESEC/FSE 2023, CCF-A. (ACM SIGSOFT Distinguished Paper Award)
  

• Bo Liu, Hui Liu, Guangjie Li, Nan Niu, Zimao Xu, Yifan Wang, Yunni Xia, Yuxia Zhang, Yanjie Jiang*： Deep Learning Based Feature Envy Detection Boosted by Real-World Examples. In ESEC/FSE 2023, CCF-A.
  

• Yanjie Jiang, Hui Liu, Xiaoqing Luo, Zhihao Zhu, Xiaye Chi, Nan Niu, Yuxia Zhang, Yamin Hu, Pan Bian, and Lu Zhang： BugBuilder: An Automated Approach to Building Bug Repository. In TSE 2023, CCF-A.
  

• Leping Li, Hui Liu, Kejun Li, Yanjie Jiang, and Rui Sun： Generating Concise Patches for Newly Released Programming Assignments. In TSE 2022, CCF-A.
  

• Yanjie Jiang, Hui Liu, Yuxia Zhang, Weixing Ji, Hao Zhong and Lu Zhang： Do Bugs Lead to Unnaturalness of Source Code? In ESEC/FSE 2022, CCF-A
  

• Yanjie Jiang, Hui Liu, Nan Niu, Lu Zhang and Yamin Hu ： Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems. In ICSE 2021, CCF-A.
  

• Peilun Zhang, Yanjie Jiang, Anjiang Wei, Victoria Stodden, Darko Marinov, August Shi : Domain-Specific Fixes for Flaky Tests with Wrong Assumptions on Underdetermined Specifications. In ICSE 2021, CCF-A.
  

• Yanjie Jiang, Hui Liu, Yuxia Zhang, Nan Niu, Yuhai Zhao and Lu Zhang ： Which Abbreviations Should be Expanded? In ESEC/FSE 2021, CCF-A.
  

• Hui Liu, Mingzhu Shen, Jiahao Jin, and Yanjie Jiang ： Automated Classification of Actions in Bug Reports of Mobile Apps. In ISSTA 2020, CCF-A.
  

• Yanjie Jiang, Hui Liu and Lu Zhang ： Semantic Relation based Expansion of Abbreviations. In ESEC/FSE 2019, CCF-A.
  

• Yanjie Jiang, Hui Liu, Jiahao Jin and Lu Zhang ： Automated Expansion of Abbreviations Based on Semantic Relation and Transfer Expansion. In TSE 2019, CCF-A.
  

• Yanjie Jiang, Hui Liu, Jiaqi Zhu and Lu Zhang ： Automatic and Accurate Expansion of Abbreviations in Parameters. In TSE 2018, CCF-A.
  

• Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities. In SCIENCE CHINA Information Sciences, 2024. Co-corresponding Authors
  

• 徐子懋, 姜艳杰*, 张宇霞, 刘辉： 基于大语言模型的长方法分解.软件学报.2024.
  

• 姜艳杰, 东春浩, 刘辉 ： 一种基于词法特征和数据挖掘的无意义变量名检测方法.计算机科学.2024.
  

Patents

• 刘辉，姜艳杰. 一种对参数中缩写词进行自动扩展的方法. ZL 201810454262.3
• 刘辉，罗晓青，姜艳杰. 一种面向源代码的缩写词扩展必要性自动判定方法. ZL 202110762787.5