Who Introduces and Who Fixes? Analyzing Code Quality in Collaborative Student's Projects
Fuente:
arXiv
Saved in:
| Main Authors: | Ferrao, Rafael Corsi, Montagner, Igor dos Santos, Azevedo, Rodolfo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM Contribution Summarization in Software Projects
by: Ferrao, Rafael Corsi, et al.
Published: (2025)
by: Ferrao, Rafael Corsi, et al.
Published: (2025)
Who's Who? LLM-assisted Software Traceability with Architecture Entity Recognition
by: Fuchß, Dominik, et al.
Published: (2025)
by: Fuchß, Dominik, et al.
Published: (2025)
Diverse LLMs vs. Vulnerabilities: Who Detects and Fixes Them Better?
by: Zibaeirad, Arastoo, et al.
Published: (2025)
by: Zibaeirad, Arastoo, et al.
Published: (2025)
Improving the Quality of Commit Messages in Students' Projects
by: Ma, Iris, et al.
Published: (2023)
by: Ma, Iris, et al.
Published: (2023)
Who Uses Personas in Requirements Engineering: The Practitioners' Perspective
by: Wang, Yi, et al.
Published: (2024)
by: Wang, Yi, et al.
Published: (2024)
PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects
by: Charatvaraphan, Rujiphart, et al.
Published: (2025)
by: Charatvaraphan, Rujiphart, et al.
Published: (2025)
Google Summer of Code: Student Motivations and Contributions
by: Silva, Jefferson O., et al.
Published: (2019)
by: Silva, Jefferson O., et al.
Published: (2019)
Who is to Blame: A Comprehensive Review of Challenges and Opportunities in Designer-Developer Collaboration
by: Zhang, Shutong, et al.
Published: (2025)
by: Zhang, Shutong, et al.
Published: (2025)
I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection
by: Liu, Zhenguang, et al.
Published: (2025)
by: Liu, Zhenguang, et al.
Published: (2025)
COBOLAssist: Analyzing and Fixing Compilation Errors for LLM-Powered COBOL Code Generation
by: Dau, Anh T. V., et al.
Published: (2026)
by: Dau, Anh T. V., et al.
Published: (2026)
AI builds, We Analyze: An Empirical Study of AI-Generated Build Code Quality
by: Ghammam, Anwar, et al.
Published: (2026)
by: Ghammam, Anwar, et al.
Published: (2026)
Who "Controls" Where Work Shall be Done? State-of-Practice in Post-Pandemic Remote Work Regulation
by: Smite, Darja, et al.
Published: (2025)
by: Smite, Darja, et al.
Published: (2025)
Code Collaborate: Dissecting Team Dynamics in First-Semester Programming Students
by: Berrezueta-Guzman, Santiago, et al.
Published: (2024)
by: Berrezueta-Guzman, Santiago, et al.
Published: (2024)
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)
Sentiment Analysis of ML Projects: Bridging Emotional Intelligence and Code Quality
by: Ahmed, Md Shoaib, et al.
Published: (2024)
by: Ahmed, Md Shoaib, et al.
Published: (2024)
Investigating the Impact of Code Comment Inconsistency on Bug Introducing
by: Radmanesh, Shiva, et al.
Published: (2024)
by: Radmanesh, Shiva, et al.
Published: (2024)
Evaluating Source Code Quality with Large Language Models: a comparative study
by: Simões, Igor Regis da Silva, et al.
Published: (2024)
by: Simões, Igor Regis da Silva, et al.
Published: (2024)
Who's actually being Studied? A Call for Population Analysis in Software Engineering Research
by: Molléri, Jefferson Seide
Published: (2024)
by: Molléri, Jefferson Seide
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)
Who Do You Think You Are? Creating RSE Personas from GitHub Interactions
by: Anderson, Felicity, et al.
Published: (2025)
by: Anderson, Felicity, et al.
Published: (2025)
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)
Decoding the Configuration of AI Coding Agents: Insights from Claude Code Projects
by: Santos, Helio Victor F., et al.
Published: (2025)
by: Santos, Helio Victor F., et al.
Published: (2025)
Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling
by: Zhao, Qianhui, et al.
Published: (2025)
by: Zhao, Qianhui, et al.
Published: (2025)
InfraFix: Technology-Agnostic Repair of Infrastructure as Code
by: Saavedra, Nuno, et al.
Published: (2025)
by: Saavedra, Nuno, et al.
Published: (2025)
Let Students Take the Wheel: Introducing Post-Quantum Cryptography with Active Learning
by: Jamshidi, Ainaz, et al.
Published: (2024)
by: Jamshidi, Ainaz, et al.
Published: (2024)
ChatGPT in Introductory Programming: Counterbalanced Evaluation of Code Quality, Conceptual Learning, and Student Perceptions
by: Andleeb, Shiza, et al.
Published: (2025)
by: Andleeb, Shiza, et al.
Published: (2025)
Analyzing and Mitigating Surface Bias in Code Evaluation Metrics
by: Dristi, Simantika Bhattacharjee, et al.
Published: (2025)
by: Dristi, Simantika Bhattacharjee, et al.
Published: (2025)
Static Code Analyzer Recommendation via Preference Mining
by: Ge, Xiuting, et al.
Published: (2024)
by: Ge, Xiuting, et al.
Published: (2024)
A Generic Approach to Fix Test Flakiness in Real-World Projects
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Developers' Perception: Fixed Bugs Often Overlooked as Quality Contributions
by: Alifanov, Vitaly, et al.
Published: (2024)
by: Alifanov, Vitaly, et al.
Published: (2024)
Process-based Indicators of Vulnerability Re-Introducing Code Changes: An Exploratory Case Study
by: Shimmi, Samiha, et al.
Published: (2025)
by: Shimmi, Samiha, et al.
Published: (2025)
Patterns for Teaching Agile with Student Projects -- Team and Project Setup
by: Pinho, Daniel, et al.
Published: (2025)
by: Pinho, Daniel, et al.
Published: (2025)
Collaboration Tools and their Role in Agile Software Projects
by: Hussein, Raman Mohammed, et al.
Published: (2025)
by: Hussein, Raman Mohammed, et al.
Published: (2025)
Software Solutions for Newcomers' Onboarding in Software Projects: A Systematic Literature Review
by: Santos, Italo, et al.
Published: (2024)
by: Santos, Italo, et al.
Published: (2024)
A Preliminary Study of Fixed Flaky Tests in Rust Projects on GitHub
by: Schroeder, Tom, et al.
Published: (2025)
by: Schroeder, Tom, et al.
Published: (2025)
Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
by: Tian, Zhao, et al.
Published: (2023)
by: Tian, Zhao, et al.
Published: (2023)
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
by: Pan, Rangeet, et al.
Published: (2023)
by: Pan, Rangeet, et al.
Published: (2023)
An Event-Driven Tool for Context-Aware Code Smell Detection Using SmellDSL
by: Viegas, Matheus dos Santos, et al.
Published: (2026)
by: Viegas, Matheus dos Santos, et al.
Published: (2026)
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
Analyzing Dependency Distribution Changes Arising from Code Smell Interactions
by: Zhang, Zushuai, et al.
Published: (2025)
by: Zhang, Zushuai, et al.
Published: (2025)
Similar Items
-
LLM Contribution Summarization in Software Projects
by: Ferrao, Rafael Corsi, et al.
Published: (2025) -
Who's Who? LLM-assisted Software Traceability with Architecture Entity Recognition
by: Fuchß, Dominik, et al.
Published: (2025) -
Diverse LLMs vs. Vulnerabilities: Who Detects and Fixes Them Better?
by: Zibaeirad, Arastoo, et al.
Published: (2025) -
Improving the Quality of Commit Messages in Students' Projects
by: Ma, Iris, et al.
Published: (2023) -
Who Uses Personas in Requirements Engineering: The Practitioners' Perspective
by: Wang, Yi, et al.
Published: (2024)