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