Why Are AI Agent Involved Pull Requests (Fix-Related) Remain Unmerged? An Empirical Study
Fuente:
arXiv
Saved in:
| Main Authors: | Alam, Khairul, Mondal, Saikat, Roy, Banani |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Analyzing GitHub Issues and Pull Requests in nf-core Pipelines: Insights into nf-core Pipeline Repositories
by: Alam, Khairul, et al.
Published: (2026)
by: Alam, Khairul, et al.
Published: (2026)
What Drives Issue Resolution Speed? An Empirical Study of Scientific Workflow Systems on GitHub
by: Alam, Khairul, et al.
Published: (2025)
by: Alam, Khairul, et al.
Published: (2025)
Beyond Bug Fixes: An Empirical Investigation of Post-Merge Code Quality Issues in Agent-Generated Pull Requests
by: Cynthia, Shamse Tasnim, et al.
Published: (2026)
by: Cynthia, Shamse Tasnim, et al.
Published: (2026)
From Questions to Insights: Exploring XAI Challenges Reported on Stack Overflow Questions
by: Roy, Saumendu, et al.
Published: (2025)
by: Roy, Saumendu, et al.
Published: (2025)
Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
by: Ehsani, Ramtin, et al.
Published: (2026)
by: Ehsani, Ramtin, et al.
Published: (2026)
From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics
by: Alam, Khairul, et al.
Published: (2025)
by: Alam, Khairul, et al.
Published: (2025)
Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
by: Gong, Jingzhi, et al.
Published: (2026)
by: Gong, Jingzhi, et al.
Published: (2026)
Reproducibility of Issues Reported in Stack Overflow Questions: Challenges, Impact & Estimation
by: Mondal, Saikat, et al.
Published: (2024)
by: Mondal, Saikat, et al.
Published: (2024)
How AI Coding Agents Communicate: A Study of Pull Request Description Characteristics and Human Review Responses
by: Watanabe, Kan, et al.
Published: (2026)
by: Watanabe, Kan, et al.
Published: (2026)
An Empirical Investigation on the Challenges in Scientific Workflow Systems Development
by: Alam, Khairul, et al.
Published: (2024)
by: Alam, Khairul, et al.
Published: (2024)
Quality and Security Signals in AI-Generated Python Refactoring Pull Requests
by: Almukhtar, Mohamed, et al.
Published: (2026)
by: Almukhtar, Mohamed, et al.
Published: (2026)
When AI Teammates Meet Code Review: Collaboration Signals Shaping the Integration of Agent-Authored Pull Requests
by: Nachuma, Costain, et al.
Published: (2026)
by: Nachuma, Costain, et al.
Published: (2026)
SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback
by: Kumar, Deepak
Published: (2026)
by: Kumar, Deepak
Published: (2026)
Why Are Agentic Pull Requests Merged or Rejected? An Empirical Study
by: Peralta, Sien Reeve O., et al.
Published: (2026)
by: Peralta, Sien Reeve O., et al.
Published: (2026)
MELT: Mining Effective Lightweight Transformations from Pull Requests
by: Ramos, Daniel, et al.
Published: (2023)
by: Ramos, Daniel, et al.
Published: (2023)
An Empirical Study on LLM-based Agents for Automated Bug Fixing
by: Meng, Xiangxin, et al.
Published: (2024)
by: Meng, Xiangxin, et al.
Published: (2024)
Developer Challenges on Large Language Models: A Study of Stack Overflow and OpenAI Developer Forum Posts
by: Alam, Khairul, et al.
Published: (2024)
by: Alam, Khairul, et al.
Published: (2024)
AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM
by: Bappon, Suborno Deb, et al.
Published: (2024)
by: Bappon, Suborno Deb, et al.
Published: (2024)
An Empirical Study on the Impact of Gender Diversity on Code Quality in AI Systems
by: Cynthia, Shamse Tasnim, et al.
Published: (2025)
by: Cynthia, Shamse Tasnim, et al.
Published: (2025)
On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests
by: Khatoonabadi, SayedHassan, et al.
Published: (2021)
by: Khatoonabadi, SayedHassan, et al.
Published: (2021)
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests
by: Khatoonabadi, SayedHassan, et al.
Published: (2023)
by: Khatoonabadi, SayedHassan, et al.
Published: (2023)
An Empirical Study of Agent Developer Practices in AI Agent Frameworks
by: Wang, Yanlin, et al.
Published: (2025)
by: Wang, Yanlin, et al.
Published: (2025)
Pull Requests as a Training Signal for Repo-Level Code Editing
by: Zhu, Qinglin, et al.
Published: (2026)
by: Zhu, Qinglin, et al.
Published: (2026)
From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests
by: Chowdhury, Kowshik, et al.
Published: (2026)
by: Chowdhury, Kowshik, et al.
Published: (2026)
Gender Disparities in Contributions, Leadership, and Collaboration: An Exploratory Study on Software Systems Research
by: Cynthia, Shamse Tasnim, et al.
Published: (2024)
by: Cynthia, Shamse Tasnim, et al.
Published: (2024)
How AI Coding Agents Modify Code: A Large-Scale Study of GitHub Pull Requests
by: Ogenrwot, Daniel, et al.
Published: (2026)
by: Ogenrwot, Daniel, et al.
Published: (2026)
LLM For Loop Invariant Generation and Fixing: How Far Are We?
by: Akhond, Mostafijur Rahman, et al.
Published: (2025)
by: Akhond, Mostafijur Rahman, et al.
Published: (2025)
Let's Make Every Pull Request Meaningful: An Empirical Analysis of Developer and Agentic Pull Requests
by: Yoshioka, Haruhiko, et al.
Published: (2026)
by: Yoshioka, Haruhiko, et al.
Published: (2026)
Insights into Security-Related AI-Generated Pull Requests
by: Rabbi, Md Fazle, et al.
Published: (2026)
by: Rabbi, Md Fazle, et al.
Published: (2026)
Humans Integrate, Agents Fix: How Agent-Authored Pull Requests Are Referenced in Practice
by: Khemissi, Islem, et al.
Published: (2026)
by: Khemissi, Islem, et al.
Published: (2026)
More Code, Less Reuse: Investigating Code Quality and Reviewer Sentiment towards AI-generated Pull Requests
by: Huang, Haoming, et al.
Published: (2026)
by: Huang, Haoming, et al.
Published: (2026)
MarsCode Agent: AI-native Automated Bug Fixing
by: Liu, Yizhou, et al.
Published: (2024)
by: Liu, Yizhou, et al.
Published: (2024)
On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
by: Watanabe, Miku, et al.
Published: (2025)
by: Watanabe, Miku, et al.
Published: (2025)
Are We All Using Agents the Same Way? An Empirical Study of Core and Peripheral Developers Use of Coding Agents
by: Cynthia, Shamse Tasnim, et al.
Published: (2026)
by: Cynthia, Shamse Tasnim, et al.
Published: (2026)
Empirical Analysis of Pull Requests for Google Summer of Code
by: Popoola, Saheed
Published: (2024)
by: Popoola, Saheed
Published: (2024)
What Software Engineering Looks Like to AI Agents? -- An Empirical Study of AI-Only Technical Discourse on MoltBook
by: Huo, Junyu, et al.
Published: (2026)
by: Huo, Junyu, et al.
Published: (2026)
Can Agents Fix Agent Issues?
by: Rahardja, Alfin Wijaya, et al.
Published: (2025)
by: Rahardja, Alfin Wijaya, et al.
Published: (2025)
An Empirical Study of AI Techniques in Mobile Applications
by: Li, Yinghua, et al.
Published: (2022)
by: Li, Yinghua, et al.
Published: (2022)
AI-Assisted Requirements Engineering: An Empirical Evaluation Relative to Expert Judgment
by: Levy, Oz, et al.
Published: (2026)
by: Levy, Oz, et al.
Published: (2026)
The Machine Learning Canvas: Empirical Findings on Why Strategy Matters More Than AI Code Generation
by: Prause, Martin
Published: (2026)
by: Prause, Martin
Published: (2026)
Similar Items
-
Analyzing GitHub Issues and Pull Requests in nf-core Pipelines: Insights into nf-core Pipeline Repositories
by: Alam, Khairul, et al.
Published: (2026) -
What Drives Issue Resolution Speed? An Empirical Study of Scientific Workflow Systems on GitHub
by: Alam, Khairul, et al.
Published: (2025) -
Beyond Bug Fixes: An Empirical Investigation of Post-Merge Code Quality Issues in Agent-Generated Pull Requests
by: Cynthia, Shamse Tasnim, et al.
Published: (2026) -
From Questions to Insights: Exploring XAI Challenges Reported on Stack Overflow Questions
by: Roy, Saumendu, et al.
Published: (2025) -
Where Do AI Coding Agents Fail? An Empirical Study of Failed Agentic Pull Requests in GitHub
by: Ehsani, Ramtin, et al.
Published: (2026)