| 2026 | Evolving Kubernetes: A Technical Debt Perspective. | Jesse Maarleveld, Giuseppe Destefanis, Daniel Feitosa |
| 2026 | AIDev: Studying AI Coding Agents on GitHub. | Hao Li, Haoxiang Zhang, Ahmed E. Hassan |
| 2026 | Learning Compiler Fuzzing Mutators from Historical Bugs. | Lingjun Liu, Feiran (Alex) Qin, Owolabi Legunsen, Marcelo d'Amorim |
| 2026 | Modeling Sampling Workflows for Code Repositories. | Romain Lefeuvre, Mawenn Le Goasteller, Jessie Galasso, Benot Combemale, Quentin Perez, Houari Sahraoui |
| 2026 | Mining Type Constructs Using Patterns in AI-Generated Code. | Imgyeong Lee, Tayyib Ul Hassan, Abram Hindle |
| 2026 | Can Data Mining Help to Survive the Annual Compiler Upgrade? | Gunnar Kudrjavets, Aditya Kumar, Piotr Przymus |
| 2026 | Finding Important Stack Frames in Large Systems. | Aleksandr Khvorov, Yaroslav Golubev, Denis Sushentsev |
| 2026 | Humans Integrate, Agents Fix: How Agent-Authored Pull Requests Are Referenced in Practice. | Islem Khemissi, Moataz Chouchen, Dong Wang, Raula Gaikovina Kula |
| 2026 | Behind Agentic Pull Requests: An Empirical Study on Developer Interventions in AI Agent-Authored Pull Requests. | Syrine Khelifi, Ali Ouni, Maha Khemaja |
| 2026 | On the Adoption of AI Coding Agents in Open-source Android and iOS Development. | Muhammad Ahmad Khan, Hasnain Ali, Muneeb Rana, Muhammad Saqib Ilyas, Abdul Ali Bangash |
| 2026 | JavaBackports: A Dataset for Benchmarking Automated Backporting in Java. | Kaushal Kahapola, Sharada Galappaththi, Dinith Ranasinghe, Ridwan Shariffdeen, Nisansa de Silva, Srinath Perera, Sandareka Wickramanayake |
| 2026 | Underutilization in Research GPU Clusters: SE Challenges. | Krzysztof Kaczmarski, Jakub Narebski, Piotr Przymus |
| 2026 | GivenWhenThen: A Dataset of BDD Test Scenarios Mined from Open Source Projects. | Luciano Belo de Alcntara Jnior, Joo Eduardo Montandon |
| 2026 | RustXec: A Vulnerability Reproduction Dataset for Assessing Security Risks in Open-Source Rust Applications. | Zhengjie Ji, Xin Wang, Lingxiang Wang, Geng Li, Fan Yang, Ying Zhang |
| 2026 | Beyond the Prompt: An Empirical Study of Cursor Rules. | Shaokang Jiang, Daye Nam |
| 2026 | ML in a Box: Analyzing Containerization Practices in Open Source ML Projects. | Faten Jebari, Emna Ksontini, Amine Barrak, Wael Kessentini |
| 2026 | DBSecQA: A Curated Dataset of Developer Discussions on Database Security from Stack Exchange. | Md. Rakibul Islam, Farha Kamal, Md Humaun Kabir, Md Murad Sharif |
| 2026 | Studying the Footprints of AI Coding Agents in Blockchain Repositories. | Munim Iftikhar, Maaz Shahid, Shahreyar Ashraf, Muhammad Saqib Ilyas, Abdul Ali Bangash |
| 2026 | A Match Made in Heaven? AI-driven Matching of Vulnerabilities and Security Unit Tests. | Emanuele Iannone, Quang-Cuong Bui, Riccardo Scandariato |
| 2026 | More Code, Less Reuse: Investigation on Code Quality and Reviewer Sentiment towards AI-generated Pull Requests. | Haoming Huang, Pongchai Jaisri, Shota Shimizu, Lingfeng Chen, Sota Nakashima, Gema Rodrguez-Prez |
| 2026 | An Empirical Analysis of Test Failures in AI-Generated Pull Requests. | Alireza Hoseinpour, Sajjad Rezvani Boroujeni, Jashhvanth Tamilselvan Kunthavai, Kyle Cusimano, Abbas Heydarnoori |
| 2026 | Do AI Agents Really Improve Code Readability? | Kyogo Horikawa, Kosei Horikawa, Yutaro Kashiwa, Hidetake Uwano, Hajimu Iida |
| 2026 | Are Coding Agents Generating Over-Mocked Tests? An Empirical Study. | Andre Hora, Romain Robbes |
| 2026 | GitEvo: Code Evolution Analysis for Git Repositories. | Andre Hora |
| 2026 | Speed at the Cost of Quality: How Cursor AI Increases Short-Term Velocity and Long-Term Complexity in Open-Source Projects. | Hao He, Courtney Miller, Shyam Agarwal, Christian Kstner, Bogdan Vasilescu |