| 2025 | Building MVPs: An Experience Report of a Software Engineering Capstone Course. | Melissa M. Sahl, Mohammad Samarah |
| 2025 | Decoding the Issue Resolution Process in Practice via Issue Report Analysis: a Case Study of Firefox. | Antu Saha, Oscar Chaparro |
| 2025 | Code Today, Deadline Tomorrow: Procrastination Among Software Developers. | Zeinabsadat Saghi, Thomas Zimmermann, Souti Chattopadhyay |
| 2025 | Trust Dynamics in AI-Assisted Development: Definitions, Factors, and Implications. | Sadra Sabouri, Philipp Eibl, Xinyi Zhou, Morteza Ziyadi, Nenad Medvidovic, Lars Lindemann, Souti Chattopadhyay |
| 2025 | SpecRover: Code Intent Extraction via LLMs. | Haifeng Ruan, Yuntong Zhang, Abhik Roychoudhury |
| 2025 | Unveiling the Energy Vampires: A Methodology for Debugging Software Energy Consumption. | Enrique Barba Roque, Luis Cruz, Thomas Durieux |
| 2025 | IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation. | Yuyang Rong, Zhanghan Yu, Zhenkai Weng, Stephen Neuendorffer, Hao Chen |
| 2025 | Code Comment Inconsistency Detection and Rectification Using a Large Language Model. | Guoping Rong, Yongda Yu, Song Liu, Xin Tan, Tianyi Zhang, Haifeng Shen, Jidong Hu |
| 2025 | UML is Back. Or is it? Investigating the Past, Present, and Future of UML in Open Source Software. | Joseph Romeo, Marco Raglianti, Csaba Nagy, Michele Lanza |
| 2025 | Cooperative Software Verification via Dynamic Program Splitting. | Cedric Richter, Marek Chalupa, Marie-Christine Jakobs, Heike Wehrheim |
| 2025 | Analyzing the Feasibility of Adopting Google's Nonce-Based CSP Solutions on Websites. | Mengxia Ren, Anhao Xiang, Chuan Yue |
| 2025 | Hints Help Finding and Fixing Bugs Differently in Python and Text-Based Program Representations. | Ruchit Rawal, Victor-Alexandru Padurean, Sven Apel, Adish Singla, Mariya Toneva |
| 2025 | CodeImprove: Program Adaptation for Deep Code Models. | Ravishka Rathnasuriya, Zijie Zhao, Wei Yang |
| 2025 | On the Fly Input Refinement for Code Language Models. | Ravishka Rathnasuriya |
| 2025 | A Framework for On the Fly Input Refinement for Deep Learning Models. | Ravishka Rathnasuriya |
| 2025 | CODEMORPH: Mitigating Data Leakage in Large Language Model Assessment. | Hongzhou Rao, Yanjie Zhao, Wenjie Zhu, Ling Xiao, Meizhen Wang, Haoyu Wang |
| 2025 | An Exploratory Study of Security Vulnerabilities in Machine Learning Deployment Projects. | Akond Rahman, Anthony Skjellum, Yue Zhang |
| 2025 | Ranking Relevant Tests for Order-Dependent Flaky Tests. | Shanto Rahman, Bala Naren Chanumolu, Suzzana Rafi, August Shi, Wing Lam |
| 2025 | Dissecting Global Search: A Simple Yet Effective Method to Boost Individual Discrimination Testing and Repair. | Lili Quan, Tianlin Li, Xiaofei Xie, Zhenpeng Chen, Sen Chen, Lingxiao Jiang, Xiaohong Li |
| 2025 | Automated, Unsupervised, and Auto-Parameterized Inference of Data Patterns and Anomaly Detection. | Qiaolin Qin, Heng Li, Ettore Merlo, Maxime Lamothe |
| 2025 | To Mock or Not to Mock: Divergence in Mocking Practices Between LLM and Developers. | Hanbin Qin |
| 2025 | Does GenAI Make Usability Testing Obsolete? | Ali Ebrahimi Pourasad, Walid Maalej |
| 2025 | Testing and Understanding Deviation Behaviors in FHE-Hardened Machine Learning Models. | Yiteng Peng, Daoyuan Wu, Zhibo Liu, Dongwei Xiao, Zhenlan Ji, Juergen Rahmel, Shuai Wang |
| 2025 | Automated Lifting for Cloud Infrastructure-as-Code Programs. | Jingjia Peng, Yiming Qiu, Patrick Tser Jern Kon, Pinhan Zhao, Yibo Huang, Zheng Guo, Xinyu Wang, Ang Chen |
| 2025 | Augmenting the Generality and Performance of Large Language Models for Software Engineering. | Fabian C. Pea |