Group versus Individual Review Requests: Tradeoffs in Speed and Quality at Mozilla Firefox
Fuente:
arXiv
Guardado en:
| Autores principales: | Kucera, Matej, Castelluccio, Marco, Feitosa, Daniel, Rastogi, Ayushi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Comparison of Conversational Models and Humans in Answering Technical Questions: the Firefox Case
por: Correia, Joao, et al.
Publicado: (2025)
por: Correia, Joao, et al.
Publicado: (2025)
Understanding Fairness in Software Engineering: Insights from Stack Exchange
por: Sesari, Emeralda, et al.
Publicado: (2024)
por: Sesari, Emeralda, et al.
Publicado: (2024)
Psychological Safety Framework in Pull-based Open Source Projects
por: Sesari, Emeralda, et al.
Publicado: (2025)
por: Sesari, Emeralda, et al.
Publicado: (2025)
It is Giving Major Satisfaction: Why Fairness Matters for Software Practitioners
por: Sesari, Emeralda, et al.
Publicado: (2024)
por: Sesari, Emeralda, et al.
Publicado: (2024)
Blended PC Peer Review Model: Process and Reflection
por: Tantithamthavorn, Chakkrit, et al.
Publicado: (2025)
por: Tantithamthavorn, Chakkrit, et al.
Publicado: (2025)
Exploring turnover, retention and growth in an OSS Ecosystem
por: Tulili, Tien Rahayu, et al.
Publicado: (2025)
por: Tulili, Tien Rahayu, et al.
Publicado: (2025)
Characterising Developer Sentiment in Software Components: An Exploratory Study of Gentoo
por: Tulili, Tien Rahayu, et al.
Publicado: (2024)
por: Tulili, Tien Rahayu, et al.
Publicado: (2024)
What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity
por: Kudrjavets, Gunnar, et al.
Publicado: (2023)
por: Kudrjavets, Gunnar, et al.
Publicado: (2023)
The Devil Is in the Command Line: Associating the Compiler Flags With the Binary and Build Metadata
por: Kudrjavets, Gunnar, et al.
Publicado: (2023)
por: Kudrjavets, Gunnar, et al.
Publicado: (2023)
Quality Gatekeepers: Investigating the Effects ofCode Review Bots on Pull Request Activities
por: Wessel, Mairieli, et al.
Publicado: (2021)
por: Wessel, Mairieli, et al.
Publicado: (2021)
Predicting the Impact of Crashes Across Release Channels
por: Mujahid, Suhaib, et al.
Publicado: (2024)
por: Mujahid, Suhaib, et al.
Publicado: (2024)
Ecosystem-wide influences on pull request decisions: insights from NPM
por: Meijer, Willem, et al.
Publicado: (2024)
por: Meijer, Willem, et al.
Publicado: (2024)
Machine Learning Models for the Early Detection of Burnout in Software Engineering: a Systematic Literature Review
por: Tulili, Tien Rahayu, et al.
Publicado: (2026)
por: Tulili, Tien Rahayu, et al.
Publicado: (2026)
Decoding the Issue Resolution Process in Practice via Issue Report Analysis: A Case Study of Firefox
por: Saha, Antu, et al.
Publicado: (2025)
por: Saha, Antu, et al.
Publicado: (2025)
Automated Generation of Issue-Reproducing Tests by Combining LLMs and Search-Based Testing
por: Kitsios, Konstantinos, et al.
Publicado: (2025)
por: Kitsios, Konstantinos, et al.
Publicado: (2025)
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review
por: Chen, Xinyu, et al.
Publicado: (2024)
por: Chen, Xinyu, et al.
Publicado: (2024)
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
por: Li, Lin, et al.
Publicado: (2024)
por: Li, Lin, et al.
Publicado: (2024)
Evaluating the Impact of Data Cleaning on the Quality of Generated Pull Request Descriptions
por: Tire, Kutay, et al.
Publicado: (2025)
por: Tire, Kutay, et al.
Publicado: (2025)
Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study
por: Olewicki, Doriane, et al.
Publicado: (2024)
por: Olewicki, Doriane, et al.
Publicado: (2024)
Human-Agent versus Human Pull Requests: A Testing-Focused Characterization and Comparison
por: Milanese, Roberto, et al.
Publicado: (2026)
por: Milanese, Roberto, et al.
Publicado: (2026)
SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback
por: Kumar, Deepak
Publicado: (2026)
por: Kumar, Deepak
Publicado: (2026)
GitHub Actions: The Impact on the Pull Request Process
por: Wessel, Mairieli, et al.
Publicado: (2022)
por: Wessel, Mairieli, et al.
Publicado: (2022)
How Do Developers Use Code Suggestions in Pull Request Reviews?
por: Bouraffa, Abir, et al.
Publicado: (2025)
por: Bouraffa, Abir, et al.
Publicado: (2025)
These Aren't the Reviews You're Looking For How Humans Review AI-Generated Pull Requests
por: Duma, Kacper, et al.
Publicado: (2026)
por: Duma, Kacper, et al.
Publicado: (2026)
Code Change Characteristics and Description Alignment: A Comparative Study of Agentic versus Human Pull Requests
por: Pham, Dung, et al.
Publicado: (2026)
por: Pham, Dung, et al.
Publicado: (2026)
Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage
por: Yoshimoto, Suzuka, et al.
Publicado: (2026)
por: Yoshimoto, Suzuka, et al.
Publicado: (2026)
XBIDetective: Leveraging Vision Language Models for Identifying Cross-Browser Visual Inconsistencies
por: Grewal, Balreet, et al.
Publicado: (2025)
por: Grewal, Balreet, et al.
Publicado: (2025)
Demystifying Feature Requests: Leveraging LLMs to Refine Feature Requests in Open-Source Software
por: KC, Pragyan, et al.
Publicado: (2025)
por: KC, Pragyan, et al.
Publicado: (2025)
On the Footprints of Reviewer Bots Feedback on Agentic Pull Requests in OSS GitHub Repositories
por: Fatima, Syeda Kaneez, et al.
Publicado: (2026)
por: Fatima, Syeda Kaneez, et al.
Publicado: (2026)
Let's Make Every Pull Request Meaningful: An Empirical Analysis of Developer and Agentic Pull Requests
por: Yoshioka, Haruhiko, et al.
Publicado: (2026)
por: Yoshioka, Haruhiko, et al.
Publicado: (2026)
The Competence Crisis: A Design Fiction on AI-Assisted Research in Software Engineering
por: Wessel, Mairieli, et al.
Publicado: (2026)
por: Wessel, Mairieli, et al.
Publicado: (2026)
Gotta catch 'em all! Towards File Localisation from Issues at Large
por: Maarleveld, Jesse, et al.
Publicado: (2025)
por: Maarleveld, Jesse, et al.
Publicado: (2025)
Beyond Bug Fixes: An Empirical Investigation of Post-Merge Code Quality Issues in Agent-Generated Pull Requests
por: Cynthia, Shamse Tasnim, et al.
Publicado: (2026)
por: Cynthia, Shamse Tasnim, et al.
Publicado: (2026)
From Industry Claims to Empirical Reality: An Empirical Study of Code Review Agents in Pull Requests
por: Chowdhury, Kowshik, et al.
Publicado: (2026)
por: Chowdhury, Kowshik, et al.
Publicado: (2026)
The Value of Effective Pull Request Description
por: Pirouzkhah, Shirin, et al.
Publicado: (2026)
por: Pirouzkhah, Shirin, et al.
Publicado: (2026)
Quality and Security Signals in AI-Generated Python Refactoring Pull Requests
por: Almukhtar, Mohamed, et al.
Publicado: (2026)
por: Almukhtar, Mohamed, et al.
Publicado: (2026)
Sphinx: Benchmarking and Modeling for LLM-Driven Pull Request Review
por: Zhang, Daoan, et al.
Publicado: (2026)
por: Zhang, Daoan, et al.
Publicado: (2026)
On-the-Fly Syntax Highlighting: Generalisation and Speed-ups
por: Palma, Marco Edoardo, et al.
Publicado: (2024)
por: Palma, Marco Edoardo, et al.
Publicado: (2024)
Insights into Security-Related AI-Generated Pull Requests
por: Rabbi, Md Fazle, et al.
Publicado: (2026)
por: Rabbi, Md Fazle, et al.
Publicado: (2026)
The Impact of Documentation on Test Engagement in Pull Requests in OSS
por: Amore, Teal, et al.
Publicado: (2026)
por: Amore, Teal, et al.
Publicado: (2026)
Ejemplares similares
-
A Comparison of Conversational Models and Humans in Answering Technical Questions: the Firefox Case
por: Correia, Joao, et al.
Publicado: (2025) -
Understanding Fairness in Software Engineering: Insights from Stack Exchange
por: Sesari, Emeralda, et al.
Publicado: (2024) -
Psychological Safety Framework in Pull-based Open Source Projects
por: Sesari, Emeralda, et al.
Publicado: (2025) -
It is Giving Major Satisfaction: Why Fairness Matters for Software Practitioners
por: Sesari, Emeralda, et al.
Publicado: (2024) -
Blended PC Peer Review Model: Process and Reflection
por: Tantithamthavorn, Chakkrit, et al.
Publicado: (2025)