Saved in:
| Main Authors: | Amore, Teal, Berman, Nathan, Jiang, Siyuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.23048 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the Footprints of Reviewer Bots Feedback on Agentic Pull Requests in OSS GitHub Repositories
by: Fatima, Syeda Kaneez, et al.
Published: (2026)
by: Fatima, Syeda Kaneez, et al.
Published: (2026)
A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects
by: Hoshikawa, Hirotatsu, et al.
Published: (2026)
by: Hoshikawa, Hirotatsu, et al.
Published: (2026)
GitHub Actions: The Impact on the Pull Request Process
by: Wessel, Mairieli, et al.
Published: (2022)
by: Wessel, Mairieli, et al.
Published: (2022)
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)
The Value of Effective Pull Request Description
by: Pirouzkhah, Shirin, et al.
Published: (2026)
by: Pirouzkhah, Shirin, et al.
Published: (2026)
Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions
by: Xiao, Tao, et al.
Published: (2024)
by: Xiao, Tao, et al.
Published: (2024)
Evaluating the Impact of Data Cleaning on the Quality of Generated Pull Request Descriptions
by: Tire, Kutay, et al.
Published: (2025)
by: Tire, Kutay, et al.
Published: (2025)
Change And Cover: Last-Mile, Pull Request-Based Regression Test Augmentation
by: Zhou, Zitong, et al.
Published: (2026)
by: Zhou, Zitong, et al.
Published: (2026)
Do Autonomous Agents Contribute Test Code? A Study of Tests in Agentic Pull Requests
by: Haque, Sabrina, et al.
Published: (2026)
by: Haque, Sabrina, et al.
Published: (2026)
Human-Agent versus Human Pull Requests: A Testing-Focused Characterization and Comparison
by: Milanese, Roberto, et al.
Published: (2026)
by: Milanese, Roberto, 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)
Empirical Analysis of Pull Requests for Google Summer of Code
by: Popoola, Saheed
Published: (2024)
by: Popoola, Saheed
Published: (2024)
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)
The Quiet Contributions: Insights into AI-Generated Silent Pull Requests
by: Hasan, S M Mahedy, et al.
Published: (2026)
by: Hasan, S M Mahedy, et al.
Published: (2026)
A Study of Library Usage in Agent-Authored Pull Requests
by: Twist, Lukas, et al.
Published: (2025)
by: Twist, Lukas, et al.
Published: (2025)
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)
How Do Developers Use Code Suggestions in Pull Request Reviews?
by: Bouraffa, Abir, et al.
Published: (2025)
by: Bouraffa, Abir, et al.
Published: (2025)
Improving Merge Pipeline Throughput in Continuous Integration via Pull Request Prioritization
by: Jungwirth, Maximilian, et al.
Published: (2025)
by: Jungwirth, Maximilian, et al.
Published: (2025)
Sphinx: Benchmarking and Modeling for LLM-Driven Pull Request Review
by: Zhang, Daoan, et al.
Published: (2026)
by: Zhang, Daoan, 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)
Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance
by: Pinna, Giovanni, et al.
Published: (2026)
by: Pinna, Giovanni, 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)
What Developers Ask to ChatGPT in GitHub Pull Requests? an Exploratory Study
by: Silva, Julyanara R., et al.
Published: (2025)
by: Silva, Julyanara R., et al.
Published: (2025)
Quality Gatekeepers: Investigating the Effects ofCode Review Bots on Pull Request Activities
by: Wessel, Mairieli, et al.
Published: (2021)
by: Wessel, Mairieli, et al.
Published: (2021)
Investigating the Impact of Interpersonal Challenges on Feeling Welcome in OSS
by: Trinkenreich, Bianca, et al.
Published: (2024)
by: Trinkenreich, Bianca, 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)
These Aren't the Reviews You're Looking For How Humans Review AI-Generated Pull Requests
by: Duma, Kacper, et al.
Published: (2026)
by: Duma, Kacper, 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)
Collaborator or Assistant? How AI Coding Agents Partition Work Across Pull Request Lifecycles
by: Jo, Young, et al.
Published: (2026)
by: Jo, Young, et al.
Published: (2026)
Who Said CVE? How Vulnerability Identifiers Are Mentioned by Humans, Bots, and Agents in Pull Requests
by: Rooijendijk, Pien, et al.
Published: (2026)
by: Rooijendijk, Pien, et al.
Published: (2026)
An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues
by: Hao, Huizi, et al.
Published: (2024)
by: Hao, Huizi, et al.
Published: (2024)
OSS Myths and Facts
by: Iimura, Yukako, et al.
Published: (2024)
by: Iimura, Yukako, et al.
Published: (2024)
The Death Spiral of Open Source Projects: A Post-Mortem Analysis of Pull Request Workflow Dynamics
by: Kaushik, Mohit, et al.
Published: (2026)
by: Kaushik, Mohit, et al.
Published: (2026)
Code Change Characteristics and Description Alignment: A Comparative Study of Agentic versus Human Pull Requests
by: Pham, Dung, et al.
Published: (2026)
by: Pham, Dung, et al.
Published: (2026)
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)
Learning to Commit: Generating Organic Pull Requests via Online Repository Memory
by: Li, Mo, et al.
Published: (2026)
by: Li, Mo, et al.
Published: (2026)
Towards Bridging Language Gaps in OSS with LLM-Driven Documentation Translation
by: Adejumo, Elijah Kayode, et al.
Published: (2025)
by: Adejumo, Elijah Kayode, et al.
Published: (2025)
Early-Stage Prediction of Review Effort in AI-Generated Pull Requests
by: Minh, Dao Sy Duy, et al.
Published: (2026)
by: Minh, Dao Sy Duy, et al.
Published: (2026)
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)
Similar Items
-
On the Footprints of Reviewer Bots Feedback on Agentic Pull Requests in OSS GitHub Repositories
by: Fatima, Syeda Kaneez, et al.
Published: (2026) -
A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects
by: Hoshikawa, Hirotatsu, et al.
Published: (2026) -
GitHub Actions: The Impact on the Pull Request Process
by: Wessel, Mairieli, et al.
Published: (2022) -
Let's Make Every Pull Request Meaningful: An Empirical Analysis of Developer and Agentic Pull Requests
by: Yoshioka, Haruhiko, et al.
Published: (2026) -
The Value of Effective Pull Request Description
by: Pirouzkhah, Shirin, et al.
Published: (2026)