What Types of Code Review Comments Do Developers Most Frequently Resolve?
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Goldman, Saul, Lin, Hong Yi, Pasuksmit, Jirat, Thongtanunam, Patanamon, Tantithamthavorn, Kla, Wang, Zhe, Zhang, Ray, Behnaz, Ali, Jiang, Fan, Siers, Michael, Jiang, Ryan, Buller, Mike, Jeong, Minwoo, Wu, Ming |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile
par: Pasuksmit, Jirat, et autres
Publié: (2024)
par: Pasuksmit, Jirat, et autres
Publié: (2024)
HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation
par: Tantithamthavorn, Kla, et autres
Publié: (2026)
par: Tantithamthavorn, Kla, et autres
Publié: (2026)
AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection
par: Charoenwet, Wachiraphan, et autres
Publié: (2026)
par: Charoenwet, Wachiraphan, et autres
Publié: (2026)
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
par: Hong, Yang, et autres
Publié: (2024)
par: Hong, Yang, et autres
Publié: (2024)
AI for DevSecOps: A Landscape and Future Opportunities
par: Fu, Michael, et autres
Publié: (2024)
par: Fu, Michael, et autres
Publié: (2024)
Code Ownership: The Principles, Differences, and Their Associations with Software Quality
par: Thongtanunam, Patanamon, et autres
Publié: (2024)
par: Thongtanunam, Patanamon, et autres
Publié: (2024)
Human-In-the-Loop Software Development Agents
par: Takerngsaksiri, Wannita, et autres
Publié: (2024)
par: Takerngsaksiri, Wannita, et autres
Publié: (2024)
Human-In-The-Loop Software Development Agents: Challenges and Future Directions
par: Pasuksmit, Jirat, et autres
Publié: (2025)
par: Pasuksmit, Jirat, et autres
Publié: (2025)
RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian
par: Tantithamthavorn, Kla, et autres
Publié: (2026)
par: Tantithamthavorn, Kla, et autres
Publié: (2026)
Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian
par: Takerngsaksiri, Wannita, et autres
Publié: (2025)
par: Takerngsaksiri, Wannita, et autres
Publié: (2025)
Automatically Recommend Code Updates: Are We There Yet?
par: Liu, Yue, et autres
Publié: (2022)
par: Liu, Yue, et autres
Publié: (2022)
Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation
par: Liu, Chunhua, et autres
Publié: (2025)
par: Liu, Chunhua, et autres
Publié: (2025)
Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification
par: Nguyen, Linh, et autres
Publié: (2025)
par: Nguyen, Linh, et autres
Publié: (2025)
Enhancing Neural Code Representation with Additional Context
par: Nguyen, Huy, et autres
Publié: (2025)
par: Nguyen, Huy, et autres
Publié: (2025)
Encoding Version History Context for Better Code Representation
par: Nguyen, Huy, et autres
Publié: (2024)
par: Nguyen, Huy, et autres
Publié: (2024)
Issue-Oriented Agent-Based Framework for Automated Review Comment Generation
par: Li, Shuochuan, et autres
Publié: (2025)
par: Li, Shuochuan, et autres
Publié: (2025)
Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
par: Liu, Chunhua, et autres
Publié: (2025)
par: Liu, Chunhua, et autres
Publié: (2025)
Leveraging Reviewer Experience in Code Review Comment Generation
par: Lin, Hong Yi, et autres
Publié: (2024)
par: Lin, Hong Yi, et autres
Publié: (2024)
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks
par: Khant, Kyi Shin, et autres
Publié: (2025)
par: Khant, Kyi Shin, et autres
Publié: (2025)
Breaking Changes in Software Ecosystems: A Systematic Literature Review
par: Chen, Juntao, et autres
Publié: (2026)
par: Chen, Juntao, et autres
Publié: (2026)
Automatic Programming: Large Language Models and Beyond
par: Lyu, Michael R., et autres
Publié: (2024)
par: Lyu, Michael R., et autres
Publié: (2024)
Comparing Human and LLM Generated Code: The Jury is Still Out!
par: Licorish, Sherlock A., et autres
Publié: (2025)
par: Licorish, Sherlock A., et autres
Publié: (2025)
Improving Automated Code Reviews: Learning from Experience
par: Lin, Hong Yi, et autres
Publié: (2024)
par: Lin, Hong Yi, et autres
Publié: (2024)
Enhancing Code Review through Fuzzing and Likely Invariants
par: Charoenwet, Wachiraphan, et autres
Publié: (2025)
par: Charoenwet, Wachiraphan, et autres
Publié: (2025)
An Empirical Study of Static Analysis Tools for Secure Code Review
par: Charoenwet, Wachiraphan, et autres
Publié: (2024)
par: Charoenwet, Wachiraphan, et autres
Publié: (2024)
Toward Effective Secure Code Reviews: An Empirical Study of Security-Related Coding Weaknesses
par: Charoenwet, Wachiraphan, et autres
Publié: (2023)
par: Charoenwet, Wachiraphan, et autres
Publié: (2023)
When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
par: Banyongrakkul, Peerachai, et autres
Publié: (2026)
par: Banyongrakkul, Peerachai, et autres
Publié: (2026)
From Release to Adoption: Challenges in Reusing Pre-trained AI Models for Downstream Developers
par: Banyongrakkul, Peerachai, et autres
Publié: (2025)
par: Banyongrakkul, Peerachai, et autres
Publié: (2025)
Leading from the Middle: An Overview of Current Research and Trends on the Topic
par: Buller, Ryan
Publié: (2018)
par: Buller, Ryan
Publié: (2018)
Lending Video Game Consoles in an Academic Library
par: Buller, Ryan
Publié: (2017)
par: Buller, Ryan
Publié: (2017)
Fine-grained Approaches for Confidence Calibration of LLMs in Automated Code Revision
par: Lin, Hong Yi, et autres
Publié: (2026)
par: Lin, Hong Yi, et autres
Publié: (2026)
CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
par: Lin, Hong Yi, et autres
Publié: (2025)
par: Lin, Hong Yi, et autres
Publié: (2025)
AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report
par: Oliveira, Eduardo, et autres
Publié: (2026)
par: Oliveira, Eduardo, et autres
Publié: (2026)
The Most Essential Workers
par: Wendy Z. Goldman
Publié: (2024)
par: Wendy Z. Goldman
Publié: (2024)
CzechELib – obnovy smluv pro období 2026+
par: Jirát, Jiří
Publié: (2025)
par: Jirát, Jiří
Publié: (2025)
A Systematic Survey on Debugging Techniques for Machine Learning Systems
par: Nguyen, Thanh-Dat, et autres
Publié: (2025)
par: Nguyen, Thanh-Dat, et autres
Publié: (2025)
Evaluating Foundational Components of Research Consultations in an Academic Library Research Center
par: Ryan F. Buller
Publié: (2021)
par: Ryan F. Buller
Publié: (2021)
Utilizing Building Usage Assessment: Determining Deployment of Student Workers in an Academic Library
par: Buller, Ryan F.
Publié: (2014)
par: Buller, Ryan F.
Publié: (2014)
Allergenicity of Eight Soy Products: Allergy to Soy Milk Is Most Frequent and Most Severe
par: E. J. J. Kallen, et autres
Publié: (2026)
par: E. J. J. Kallen, et autres
Publié: (2026)
Adversarial Attacks on Code Models with Discriminative Graph Patterns
par: Nguyen, Thanh-Dat, et autres
Publié: (2023)
par: Nguyen, Thanh-Dat, et autres
Publié: (2023)
Documents similaires
-
A Systematic Literature Review on Reasons and Approaches for Accurate Effort Estimations in Agile
par: Pasuksmit, Jirat, et autres
Publié: (2024) -
HalluJudge: A Reference-Free Hallucination Detection for Context Misalignment in Code Review Automation
par: Tantithamthavorn, Kla, et autres
Publié: (2026) -
AgenticSCR: An Autonomous Agentic Secure Code Review for Immature Vulnerabilities Detection
par: Charoenwet, Wachiraphan, et autres
Publié: (2026) -
Practitioners' Challenges and Perceptions of CI Build Failure Predictions at Atlassian
par: Hong, Yang, et autres
Publié: (2024) -
AI for DevSecOps: A Landscape and Future Opportunities
par: Fu, Michael, et autres
Publié: (2024)