| 2026 | On the Reliability of Agentic AI in Continuous Integration Pipelines. | Moataz Chouchen, Jasem Khelifi, Mahi Begoug, Ali Ouni, Mohammed Sayagh, Mohamed Aymen Saied |
| 2026 | Beyond Single Code Changes: An Empirical Study of Topic-Based Code Review Practices in Gerrit for OpenStack. | Moataz Chouchen, Mahi Begoug, Ali Ouni |
| 2026 | SMELLDroid: A Dataset for Code Smells in Android Apps. | Joyce Champie, Karim Elish, Mahmoud Elish |
| 2026 | LGTM! Characteristics of Auto-Merged LLM-based Agentic PRs. | Ruben Branco, Paulo Canelas, Catarina Gamboa, Alcides Fonseca |
| 2026 | Characterizing Self-Admitted Technical Debt Generated by AI Coding Agents. | Zaki Brahmi, Ali Ouni, Mohammed Sayagh, Mohamed Aymen Saied |
| 2026 | LogSieve: Task-Aware CI Log Reduction for Sustainable LLM-Based Analysis. | Marcus Emmanuel Barnes, Taher A. Ghaleb, Safwat Hassan |
| 2026 | Coordination at Scale in Large Distributed Development: The Case of Kubernetes. | Sabrina Aufiero, Matteo Vaccargiu, Silvia Bartolucci, Fabio Caccioli, Giuseppe Destefanis |
| 2026 | Novice Developers Produce Larger Review Overhead for Project Maintainers while Vibe Coding. | Syed Ammar Asdaque, Imran Haider, Muhammad Umar Malik, Maryam Abdul Ghafoor, Abdul Ali Bangash |
| 2026 | How do third-party Python libraries use type annotations? | Eric Asare, Sarah Nadi |
| 2026 | Toward Instructions-as-Code: Understanding the Impact of Instruction Files on Agentic Pull Requests. | Ali Arabat, Mohammed Sayagh |
| 2026 | PoolinGH: Fast, Efficient, and Robust GitHub Repository Mining. | Maxime Andr, Marco Raglianti, Souhaila Serbout, Anthony Cleve, Michele Lanza |
| 2026 | Test Coverage of Code Changes in AI-Generated Pull Requests. | Tales Alves, Leopoldo Teixeira |
| 2026 | Analyzing GitHub Issues and Pull Requests in nf-core Pipelines: Insights into nf-core Pipeline Repositories. | Khairul Alam, Banani Roy |
| 2026 | Why Are AI Agent-Involved Pull Requests (Fix-Related) Remain Unmerged? An Empirical Study. | Khairul Alam, Saikat Mondal, Banani Roy |
| 2026 | Model See, Model Do? Exposure-Aware Evaluation of Bug-vs-Fix Preference in Code LLMs. | Ali Al-Kaswan, Claudio Spiess, Prem Devanbu, Arie van Deursen, Maliheh Izadi |
| 2026 | Secret Leak Detection in Software Issue Reports using LLMs: A Comprehensive Evaluation. | Sadif Ahmed, Md Nafiu Rahman, Zahin Wahab, Gias Uddin, Rifat Shahriyar |
| 2026 | AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development. | Shyam Agarwal, Hao He, Bogdan Vasilescu |
| 2026 | Understanding the Rejection of Fixes Generated by Agentic Pull Requests - Insights from the AIDev Dataset. | Mahmoud Abujadallah, Ali Arabat, Mohammed Sayagh |
| 2026 | Where Do Smart Contract Security Analyzers Fall Short? | Tamer Abdelaziz, Salma Alsaghir, Karim Ali |
| 2026 | Behavioral Analysis of AI Code Generation Agents: Edit, Rewrite, and Repetition. | Mahdieh Abazar, Reyhaneh Farahmand, Gouri Ginde, Benjamin Tan, Lorenzo De Carli |
| 2025 | Do Developers Depend on Deprecated Library Versions? A Mining Study of Log4j. | Haruhiko Yoshioka, Sila Lertbanjongngam, Masayuki Inaba, Youmei Fan, Takashi Nakano, Kazumasa Shimari, Raula Gaikovina Kula, Kenichi Matsumoto |
| 2025 | LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations. | Ziyang Ye, Triet Huynh Minh Le, M. Ali Babar |
| 2025 | SCRUBD: Smart Contracts Reentrancy and Unhandled Exceptions Vulnerability Dataset. | Chavhan Sujeet Yashavant, MitrajSinh Chavda, Saurabh Kumar, Amey Karkare, Angshuman Karmakar |
| 2025 | Tracing Vulnerabilities in Maven: A Study of CVE lifecycles and Dependency Networks. | Corey Yang-Smith, Ahmad Abdellatif |
| 2025 | An Empirical Study on Leveraging Images in Automated Bug Report Reproduction. | Dingbang Wang, Zhaoxu Zhang, Sidong Feng, William G. J. Halfond, Tingting Yu |