Cover Image

Investigating Student Reasoning in Method-Level Code Refactoring: A Think-Aloud Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Oliveira, Eduardo Carneiro, Keuning, Hieke, Jeuring, Johan
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Teaching Well-Structured Code: A Literature Review of Instructional Approaches
by: Nurollahian, Sara, et al.
Published: (2025)

Understanding Student Interaction with AI-Powered Next-Step Hints: Strategies and Challenges
by: Birillo, Anastasiia, et al.
Published: (2025)

Clustering MOOC Programming Solutions to Diversify Their Presentation to Students
by: Artser, Elizaveta, et al.
Published: (2024)

SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
by: Xu, Yisen, et al.
Published: (2026)

How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
by: AlOmar, Eman Abdullah, et al.
Published: (2024)

KOALA: a Configurable Tool for Collecting IDE Data When Solving Programming Tasks
by: Karol, Daniil, et al.
Published: (2025)

In-IDE Programming Courses: Learning Software Development in a Real-World Setting
by: Birillo, Anastasiia, et al.
Published: (2025)

Impermanent Identifiers: Enhanced Source Code Comprehension and Refactoring
by: Guerra, Eduardo Martins, et al.
Published: (2024)

"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution
by: Tian, Zhao, et al.
Published: (2026)

An Empirical Study on the Code Refactoring Capability of Large Language Models
by: Cordeiro, Jonathan, et al.
Published: (2024)

Refactoring Deep Learning Code: A Study of Practices and Unsatisfied Tool Needs
by: Wang, Siqi, et al.
Published: (2024)

Assessing the Bug-Proneness of Refactored Code: A Longitudinal Multi-Project Study
by: Ferreira, Isabella, et al.
Published: (2025)

Code Clone Refactoring in C# with Lambda Expressions
by: Kawamoto, Takuto, et al.
Published: (2025)

Deciphering Refactoring Branch Dynamics in Modern Code Review: An Empirical Study on Qt
by: AlOmar, Eman Abdullah
Published: (2024)

Automated Extract Method Refactoring with Open-Source LLMs: A Comparative Study
by: Chand, Sivajeet, et al.
Published: (2025)

An Empirical Study on the Impact of Code Duplication-aware Refactoring Practices on Quality Metrics
by: AlOmar, Eman Abdullah
Published: (2025)

A Study on Thinking Patterns of Large Reasoning Models in Code Generation
by: Halim, Kevin, et al.
Published: (2025)

MANTRA: Enhancing Automated Method-Level Refactoring with Contextual RAG and Multi-Agent LLM Collaboration
by: Xu, Yisen, et al.
Published: (2025)

Build Code Needs Maintenance Too: A Study on Refactoring and Technical Debt in Build Systems
by: Ghammam, Anwar, et al.
Published: (2025)

CodeTaste: Can LLMs Generate Human-Level Code Refactorings?
by: Thillen, Alex, et al.
Published: (2026)

Refactoring for Novices in Java: An Eye Tracking Study on the Extract vs. Inline Methods
by: da Costa, José Aldo Silva, et al.
Published: (2026)

Refactoring Detection in C++ Programs with RefactoringMiner++
by: Ritz, Benjamin, et al.
Published: (2025)

A Code Smell Refactoring Approach using GNNs
by: Zhang, HanYu, et al.
Published: (2025)

An Empirical Study of Refactoring Engine Bugs
by: Wang, Haibo, et al.
Published: (2024)

Code Refactoring with LLM: A Comprehensive Evaluation With Few-Shot Settings
by: Tapader, Md. Raihan, et al.
Published: (2025)

Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation
by: Gao, Xinyu, et al.
Published: (2024)

Dissect-and-Restore: AI-based Code Verification with Transient Refactoring
by: Wang, Changjie, et al.
Published: (2025)

Assessing the Impact of Refactoring Energy-Inefficient Code Patterns on Software Sustainability: An Industry Case Study
by: Mehra, Rohit, et al.
Published: (2025)

Teaching Code Refactoring Using LLMs
by: Khairnar, Anshul, et al.
Published: (2025)

Agentic Refactoring: An Empirical Study of AI Coding Agents
by: Horikawa, Kosei, et al.
Published: (2025)

Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMs
by: Midolo, Alessandro, et al.
Published: (2025)

How do Agents Refactor: An Empirical Study
by: Ottenhof, Lukas, et al.
Published: (2026)

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
by: Siddeeq, Shahbaz, et al.
Published: (2025)

ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
by: AlOmar, Eman Abdullah, et al.
Published: (2025)

Automated Refactoring of Legacy JavaScript Code to ES6 Modules
by: Paltoglou, Katerina, et al.
Published: (2021)

Foundation Models as Oracles for Refactoring Correctness Detection
by: Gheyi, Rohit, et al.
Published: (2026)

A Differential Fuzzing-Based Evaluation of Functional Equivalence in LLM-Generated Code Refactorings
by: Dristi, Simantika Bhattacharjee, et al.
Published: (2026)

Leveraging LLMs for Automated Translation of Legacy Code: A Case Study on PL/SQL to Java Transformation
by: Solovyeva, Lola, et al.
Published: (2025)

Bugs in the Shadows: Static Detection of Faulty Python Refactorings
by: Oliveira, Jonhnanthan, et al.
Published: (2025)

ActRef: Enhancing the Understanding of Python Code Refactoring with Action-Based Analysis
by: Wang, Siqi, et al.
Published: (2025)