| 14:00 - 15:30 | |
| | | |
| Poster | | Session 2 - Posters MSR Program
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| Talk | | When AI Agents Touch CI/CD Configurations: Frequency and Success Mining Challenge Pre-print |
| Talk | | Fingerprinting AI Coding Agents on GitHub Mining Challenge Pre-print |
| Talk | | When AI Code Doesn’t Stick: An Empirical Study on Reverted Changes Introduced by AI Coding Agents Mining Challenge File Attached |
| Talk | | Characterizing Self-Admitted Technical Debt Generated by AI Coding Agents Mining Challenge File Attached |
| Talk | | How Do Agents Perform Code Optimization? An Empirical Study Mining Challenge Pre-print |
| Talk | | Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance Mining Challenge |
| Talk | | More Code, Less Reuse: Investigation on Code Quality and Reviewer Sentiment towards AI-generated Pull Requests Mining Challenge DOI Pre-print |
| Talk | | On the Adoption of AI Coding Agents in Open-source Android and iOS Development Mining Challenge Pre-print |
| Talk | | Who Writes the Docs in SE 3.0? Agent vs. Human Documentation Pull Requests Mining Challenge DOI Pre-print |
| Talk | | Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage Mining Challenge |
| Talk | | Safer Builders, Risky Maintainers: A Comparative Study of Breaking Changes in Human vs Agentic PRs Mining Challenge DOI Pre-print File Attached |
| Talk | | On the Reliability of Agentic AI in Continuous Integration Pipelines Mining Challenge Pre-print File Attached |
| Talk | | Early-Stage Prediction of Review Effort in AI-Generated Pull Requests Mining Challenge Pre-print File Attached |
| Talk | | Test Coverage of Code Changes in AI-Generated Pull Requests Mining Challenge |
| Talk | | When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests Mining Challenge Pre-print |
| Talk | | Toward Instructions-as-Code: Understanding the Impact of Instruction Files on Agentic Pull Requests Mining Challenge |
| Talk | | An Empirical Study of Code Clone Genealogies in Human–AI Collaborative Development Mining Challenge |
| Talk | | On the Footprints of Reviewer Bots' Feedback on Agentic Pull Requests in OSS GitHub Repositories Mining Challenge |
| Talk | | When Bots Get the Boot: Understanding Pull Request Rejections in the Era of AI Coders Mining Challenge |
| Talk | | Understanding the Rejection of Fixes Generated by Agentic Pull Requests - Insights from the AIDev Dataset Mining Challenge |
| Talk | | What to Cut? Predicting Unnecessary Methods in Agentic Code Generation Mining Challenge |
| Talk | | How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests Mining Challenge DOI Pre-print |
| Talk | | Reliability of AI Bots Footprints in GitHub Actions CI/CD Workflows Mining Challenge |
| Talk | | The Dose Makes the Agent: Therapeutic Index Analysis of AI Coding Contributions Mining Challenge |
| Talk | | Beyond Bug Fixes: An Empirical Investigation of Post-Merge Code Quality Issues in Agent-Generated Pull Requests Mining Challenge |
| Talk | | Why Are Agentic Pull Requests Merged or Rejected? An Empirical Study Mining Challenge Sien Reeve O. Peralta Waseda University, Fumika Hoshi Waseda University, Hironori Washizaki Waseda University, Naoyasu Ubayashi Waseda University, Inase Kondo Osaka University, Yoshiki Higo Osaka University, Hiroki Mukai Ritsumeikan University, Norihiro Yoshida Ritsumeikan University, Kazuki Kusama , Hidetake Tanaka Nara Institute of Science and Technology, Youmei Fan Nara Institute of Science and Technology |
| Talk | | Let's Make Every Pull Request Meaningful: An Empirical Analysis of Developer and Agentic Pull Requests Mining Challenge DOI Pre-print |
| Talk | | Humans Integrate, Agents Fix: How Agent-Authored Pull Requests Are Referenced in Practice Mining Challenge |
| Short-paper | | How Do Agentic AI Systems Deal With Software Energy Concerns? A Pull Request-Based Study Mining Challenge Pre-print |
| Talk | | When AI Writes Code: Investigating Security Issues in Agentic Software Changes Mining Challenge |
| Talk | | Novice Developers Produce Larger Review Overhead for Project Maintainers while Vibe Coding Mining Challenge Pre-print |
| Talk | | Code Change Characteristics and Description Alignment: A Comparative Study of Agentic versus Human Pull Requests Mining Challenge Pre-print |
| Talk | | A Task-Level Evaluation of AI Agents in Open-Source Projects Mining Challenge Pre-print |
| Talk | | Behind Agentic Pull Requests: An Empirical Study on Developer Interventions in AI Agent-Authored Pull Requests Mining Challenge Syrine Khelifi École de technologie supérieure (ÉTS) Montréal, Ali Ouni Ecole de Technologie Superieure (ETS), Maha Khemaja ISSAT Sousse, PRINCE Lab, University of Sousse |
| Talk | | Readability of AI-Generated Pull Request Descriptions Across Pull Request Types Mining Challenge Media Attached File Attached |
| Short-paper | | The Quiet Contributions: Insights into AI-Generated Silent Pull Requests Mining Challenge Pre-print |
| Talk | | AI IDEs or Autonomous Agents? Measuring the Impact of Coding Agents on Software Development Mining Challenge Pre-print Media Attached |
| Talk | | AI builds, We Analyze: An Empirical Study of AI-Generated Build Code Quality Mining Challenge |
| Talk | | Understanding Dominant Themes in Reviewing Agentic AI-authored Code Mining Challenge Pre-print |
| Talk | | Why and When Agentic Pull Requests are (not) Accepted: An Exploratory Study Mining Challenge DOI Pre-print |
| Talk | | Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests Mining Challenge |
| Talk | | How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull Requests Mining Challenge Pre-print |
| Talk | | Mining Type Constructs Using Patterns in AI-Generated Code Mining Challenge Pre-print |
| Talk | | Bug-Fixing in the Age of AI: Human vs. Agentic Pull Requests Mining Challenge |
| Talk | | Why Are AI Agent–Involved Pull Requests (Fix-Related) Remain Unmerged? An Empirical Study Mining Challenge |
| Talk | | LGTM! Characteristics of Auto-Merged LLM-based Agentic PRs Mining Challenge DOI Pre-print Media Attached |
| Talk | | Do AI-Generated Pull Requests Get Rejected More? (Yes but Why?) Mining Challenge Rosie Wang University of Alberta, Zhou Yang University of Alberta, Alberta Machine Intelligence Institute |
| Talk | | How AI Coding Agents Communicate: A Study of Pull Request Characteristics and Human Review Responses Mining Challenge Pre-print |
| Talk | | Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub Mining Challenge Pre-print |
| Talk | | An Empirical Study of Tests in Agentic Pull Requests Mining Challenge DOI Pre-print Media Attached |
| Talk | | Who Said CVE? How Vulnerability Identifiers Are Mentioned by Humans, Bots, and Agents in Pull Requests Mining Challenge |
| Talk | | Behavioral Analysis of AI Code Generation Agents: Edit, Rewrite, and Repetition Mining Challenge |
| Talk | | A Study on Code Clone Lifecycles in Pull Requests Created by AI Agents Mining Challenge |
| Talk | | On Autopilot? An Empirical Study of Human–AI Teaming and Review Practices in Open Source Mining Challenge |
| Talk | | From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests Mining Challenge DOI Pre-print File Attached |
| Talk | | A Study of Library Usage in Agent-Authored Pull Requests Mining Challenge DOI Pre-print |
| Talk | | Studying the Footprints of AI Coding Agents in Blockchain Repositories Mining Challenge |
| Talk | | Human-Agent versus Human Pull Requests: A Testing-Focused Characterization and Comparison Mining Challenge DOI Pre-print |
| Talk | | Do AI Agents Really Improve Code Readability? Mining Challenge |
| Talk | | When is Generated Code Difficult to Comprehend? Assessing AI Agent Python Code Proficiency in the Wild Mining Challenge Pre-print |
| Talk | | How do Agents Refactor: An Empirical Study Mining Challenge Pre-print |
| Talk | | An Empirical Analysis of Test Failures in AI-Generated Pull Requests Mining Challenge Media Attached File Attached |