| 2025 | Constrained LTL Specification Learning from Examples. | Changjian Zhang, Parv Kapoor, Ian Dardik, Leyi Cui, Rmulo Meira-Ges, David Garlan, Eunsuk Kang |
| 2025 | Automated Test Generation For Smart Contracts via On-Chain Test Case Augmentation and Migration. | Jiashuo Zhang, Jiachi Chen, John Grundy, Jianbo Gao, Yanlin Wang, Ting Chen, Zhi Guan, Zhong Chen |
| 2025 | Enhancing OSS Remediation with Patch Backporting. | Lyuye Zhang |
| 2025 | Scenario-Driven and Context-Aware Automated Accessibility Testing for Android Apps. | Yuxin Zhang, Sen Chen, Xiaofei Xie, Zibo Liu, Lingling Fan |
| 2025 | Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. | Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao |
| 2025 | A First Look at Conventional Commits Classification. | Qunhong Zeng, Yuxia Zhang, Zhiqing Qiu, Hui Liu |
| 2025 | When Quantum Meets Classical: Characterizing Hybrid Quantum-Classical Issues Discussed in Developer Forums. | Jake Zappin, Trevor Stalnaker, Oscar Chaparro, Denys Poshyvanyk |
| 2025 | Addressing Recurring Bugs and Workflow Challenges in Quantum Software Engineering. | Jake Zappin |
| 2025 | Designing a Tool for Evacuation Plan Validation: Multi-Agent Simulations with Persona-Based UI. | Gennaro Zanfardino, Antinisca Di Marco, Michele Tucci |
| 2025 | Leveraging Large Language Models to Detect NPM Malicious Packages. | Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, Laurie A. Williams |
| 2025 | A Framework for Supporting Transparency in Software Ecosystems Portals from the Point of View of Developer Experience. | Rodrigo Oliveira Zacarias |
| 2025 | A Multiple Representation Transformer with Optimized Abstract Syntax Tree for Efficient Code Clone Detection. | Tianchen Yu, Li Yuan, Liannan Lin, Hongkui He |
| 2025 | Discovering Ideologies of the Open Source Software Movement. | Yang Yue, Yi Wang, David F. Redmiles |
| 2025 | FairLay-ML: Intuitive Debugging of Fairness in Data-Driven Social-Critical Software. | Normen Yu, Luciana Carreon, Gang Tan, Saeid Tizpaz-Niari |
| 2025 | DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models. | Mingyue Yuan, Jieshan Chen, Zhenchang Xing, Aaron Quigley, Yuyu Luo, Tianqi Luo, Gelareh Mohammadi, Qinghua Lu, Liming Zhu |
| 2025 | Navigating the Testing of Evolving Deep Learning Systems: An Exploratory Interview Study. | Hanmo You, Zan Wang, Bin Lin, Junjie Chen |
| 2025 | GVI: Guided Vulnerability Imagination for Boosting Deep Vulnerability Detectors. | Heng Yong, Zhong Li, Minxue Pan, Tian Zhang, Jianhua Zhao, Xuandong Li |
| 2025 | What You See is What You Get: Attention-Based Self-Guided Automatic Unit Test Generation. | Xin Yin, Chao Ni, Xiaodan Xu, Xiaohu Yang |
| 2025 | Distilled Lifelong Self-Adaptation for Configurable Systems. | Yulong Ye, Tao Chen, Miqing Li |
| 2025 | Hyperion: Unveiling DApp Inconsistencies Using LLM and Dataflow-Guided Symbolic Execution. | Shuo Yang, Xingwei Lin, Jiachi Chen, Qingyuan Zhong, Lei Xiao, Renke Huang, Yanlin Wang, Zibin Zheng |
| 2025 | Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models. | Aidan Z. H. Yang, Sophia Kolak, Vincent J. Hellendoorn, Ruben Martins, Claire Le Goues |
| 2025 | Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution Detection. | Yanfu Yan, Viet Duong, Huajie Shao, Denys Poshyvanyk |
| 2025 | Large Language Models for Safe Minimization. | Aashish Yadavally, Xiaokai Rong, Phat Nguyen, Tien N. Nguyen |
| 2025 | CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph. | Hanxiang Xu, Wei Ma, Ting Zhou, Yanjie Zhao, Kai Chen, Qiang Hu, Yang Liu, Haoyu Wang |
| 2025 | Licoeval: Evaluating LLMs on License Compliance in Code Generation. | Weiwei Xu, Kai Gao, Hao He, Minghui Zhou |