Empirical Analysis of Pull Requests for Google Summer of Code
Fuente:
arXiv
Saved in:
| Main Author: | Popoola, Saheed |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
What do Computing Interns Discuss Online? An Empirical Analysis of Reddit Posts
by: Popoola, Saheed, et al.
Published: (2024)
by: Popoola, Saheed, et al.
Published: (2024)
Efficacy of static analysis tools for software defect detection on open-source projects
by: Yeboah, Jones, et al.
Published: (2024)
by: Yeboah, Jones, et al.
Published: (2024)
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)
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)
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)
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)
Developing and Sustaining a Student-Driven Software Solutions Center -- An Experience Report
by: Popoola, Saheed, et al.
Published: (2024)
by: Popoola, Saheed, et al.
Published: (2024)
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)
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)
Google Summer of Code: Student Motivations and Contributions
by: Silva, Jefferson O., et al.
Published: (2019)
by: Silva, Jefferson O., et al.
Published: (2019)
How Do Developers Use Code Suggestions in Pull Request Reviews?
by: Bouraffa, Abir, et al.
Published: (2025)
by: Bouraffa, Abir, et al.
Published: (2025)
The Value of Effective Pull Request Description
by: Pirouzkhah, Shirin, et al.
Published: (2026)
by: Pirouzkhah, Shirin, 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)
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)
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)
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)
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)
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)
GitHub Actions: The Impact on the Pull Request Process
by: Wessel, Mairieli, et al.
Published: (2022)
by: Wessel, Mairieli, et al.
Published: (2022)
Insights into Security-Related AI-Generated Pull Requests
by: Rabbi, Md Fazle, et al.
Published: (2026)
by: Rabbi, Md Fazle, et al.
Published: (2026)
The Impact of Documentation on Test Engagement in Pull Requests in OSS
by: Amore, Teal, et al.
Published: (2026)
by: Amore, Teal, et al.
Published: (2026)
Security in the Age of AI Teammates: An Empirical Study of Agentic Pull Requests on GitHub
by: Siddiq, Mohammed Latif, et al.
Published: (2026)
by: Siddiq, Mohammed Latif, 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)
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)
Why Are AI Agent Involved Pull Requests (Fix-Related) Remain Unmerged? An Empirical Study
by: Alam, Khairul, et al.
Published: (2026)
by: Alam, Khairul, 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)
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)
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)
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)
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)
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)
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)
How Do Agentic AI Systems Address Performance Optimizations? A BERTopic-Based Analysis of Pull Requests
by: Opu, Md Nahidul Islam, et al.
Published: (2025)
by: Opu, Md Nahidul Islam, et al.
Published: (2025)
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)
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)
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)
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)
Sphinx: Benchmarking and Modeling for LLM-Driven Pull Request Review
by: Zhang, Daoan, et al.
Published: (2026)
by: Zhang, Daoan, et al.
Published: (2026)
Similar Items
-
What do Computing Interns Discuss Online? An Empirical Analysis of Reddit Posts
by: Popoola, Saheed, et al.
Published: (2024) -
Efficacy of static analysis tools for software defect detection on open-source projects
by: Yeboah, Jones, et al.
Published: (2024) -
Let's Make Every Pull Request Meaningful: An Empirical Analysis of Developer and Agentic Pull Requests
by: Yoshioka, Haruhiko, et al.
Published: (2026) -
On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
by: Watanabe, Miku, et al.
Published: (2025) -
From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests
by: Chowdhury, Kowshik, et al.
Published: (2026)