| 2025 | Model Editing for LLMs4Code: How Far are we? | Xiaopeng Li, Shangwen Wang, Shasha Li, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Bin Ji, Weimin Zhang |
| 2025 | COCA: Generative Root Cause Analysis for Distributed Systems with Code Knowledge. | Yichen Li, Yulun Wu, Jinyang Liu, Zhihan Jiang, Zhuangbin Chen, Guangba Yu, Michael R. Lyu |
| 2025 | RediI: Test Infrastructure to Enable Deterministic Reproduction of Failures for Distributed Systems. | Yang Feng, Zheyuan Lin, Dongchen Zhao, Mengbo Zhou, Jia Liu, James A. Jones |
| 2025 | exLong: Generating Exceptional Behavior Tests with Large Language Models. | Jiyang Zhang, Yu Liu, Pengyu Nie, Junyi Jessy Li, Milos Gligoric |
| 2025 | Towards High-Strength Combinatorial Interaction Testing for Highly Configurable Software Systems. | Chuan Luo, Shuangyu Lyu, Wei Wu, Hongyu Zhang, Dianhui Chu, Chunming Hu |
| 2025 | RLCoder: Reinforcement Learning for Repository-Level Code Completion. | Yanlin Wang, Yanli Wang, Daya Guo, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng |
| 2025 | An Extensive Empirical Study of Nondeterministic Behavior in Static Analysis Tools. | Miao Miao, Austin Mordahl, Dakota Soles, Alice Beideck, Shiyi Wei |
| 2025 | Accounting for Missing Events in Statistical Information Leakage Analysis. | Seongmin Lee, Shreyas Minocha, Marcel Bhme |
| 2025 | Towards Early Warning and Migration of High-Risk Dormant Open-Source Software Dependencies. | Zijie Huang, Lizhi Cai, Xuan Mao, Kang Yang |
| 2024 | Safety Monitoring of Deep Reinforcement Learning Agents. | Amirhossein Zolfagharian, Manel Abdellatif, Lionel C. Briand, Ramesh S. |
| 2024 | Translating between SQL Dialects for Cloud Migration. | Ran Zmigrod, Salwa Alamir, Xiaomo Liu |
| 2024 | Towards Combining STPA and Safety-Critical Runtime Monitoring. | Eva Zimmermann |
| 2024 | A Study on the Pythonic Functional Constructs' Understandability. | Cyrine Zid, Fiorella Zampetti, Giuliano Antoniol, Massimiliano Di Penta |
| 2024 | ModuleGuard: Understanding and Detecting Module Conflicts in Python Ecosystem. | Ruofan Zhu, Xingyu Wang, Chengwei Liu, Zhengzi Xu, Wenbo Shen, Rui Chang, Yang Liu |
| 2024 | GrammarT5: Grammar-Integrated Pretrained Encoder-Decoder Neural Model for Code. | Qihao Zhu, Qingyuan Liang, Zeyu Sun, Yingfei Xiong, Lu Zhang, Shengyu Cheng |
| 2024 | Large Language Model for Vulnerability Detection: Emerging Results and Future Directions. | Xin Zhou, Ting Zhang, David Lo |
| 2024 | Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. | Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See |
| 2024 | Stop Pulling my Rug: Exposing Rug Pull Risks in Crypto Token to Investors. | Yuanhang Zhou, Jingxuan Sun, Fuchen Ma, Yuanliang Chen, Zhen Yan, Yu Jiang |
| 2024 | On Calibration of Pre-trained Code Models. | Zhenhao Zhou, Chaofeng Sha, Xin Peng |
| 2024 | Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources. | Xin Zhou, Kisub Kim, Bowen Xu, DongGyun Han, David Lo |
| 2024 | Investigating White-Box Attacks for On-Device Models. | Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li |
| 2024 | PrettySmart: Detecting Permission Re-delegation Vulnerability for Token Behaviors in Smart Contracts. | Zhijie Zhong, Zibin Zheng, Hong-Ning Dai, Qing Xue, Junjia Chen, Yuhong Nan |
| 2024 | Practical Program Repair via Preference-based Ensemble Strategy. | Wenkang Zhong, Chuanyi Li, Kui Liu, Tongtong Xu, Jidong Ge, Tegawend F. Bissyand, Bin Luo, Vincent Ng |
| 2024 | Dynamic Inference of Likely Symbolic Tensor Shapes in Python Machine Learning Programs. | Dan Zheng, Koushik Sen |
| 2024 | OpenRank Leaderboard: Motivating Open Source Collaborations Through Social Network Evaluation in Alibaba. | Shengyu Zhao, Xiaoya Xia, Brian Fitzgerald, Xiaozhou Li, Valentina Lenarduzzi, Davide Taibi, Rong Wang, Wei Wang, Chunqi Tian |