Image de couverture de livre

From Restructuring to Stabilization: A Large-Scale Experiment on Iterative Code Readability Refactoring with Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Peitek, Norman, Hess, Julia, Apel, Sven
Format:	Preprint
Publié:	2026
Sujets:	Software Engineering
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Harnessing Hype to Teach Empirical Thinking: An Experience With AI Coding Assistants
par: Wyrich, Marvin, et autres
Publié: (2026)

How do Humans and LLMs Process Confusing Code?
par: Abdelsalam, Youssef, et autres
Publié: (2025)

An Empirical Study on the Code Refactoring Capability of Large Language Models
par: Cordeiro, Jonathan, et autres
Publié: (2024)

Fixation-related potentials reveal that confusing program code elicits a late frontal positivity
par: Bergum, Annabelle, et autres
Publié: (2024)

Human-Aligned Code Readability Assessment with Large Language Models
par: Ouédraogo, Wendkûuni C., et autres
Publié: (2025)

Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial Datasets
par: Tinnes, Christof, et autres
Publié: (2024)

Automatic Qiskit Code Refactoring Using Large Language Models
par: Suárez, José Manuel, et autres
Publié: (2025)

From Human to Machine Refactoring: Assessing GPT-4's Impact on Python Class Quality and Readability
par: Midolo, Alessandro, et autres
Publié: (2026)

ACE: Automated Technical Debt Remediation with Validated Large Language Model Refactorings
par: Tornhill, Adam, et autres
Publié: (2025)

Evidence Tetris in the Pixelated World of Validity Threats
par: Wyrich, Marvin, et autres
Publié: (2024)

Multi-Location Software Model Completion
par: Welter, Alisa, et autres
Publié: (2026)

Improving the Readability of Automatically Generated Tests using Large Language Models
par: Biagiola, Matteo, et autres
Publié: (2024)

Refactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models
par: Zhang, Zejun, et autres
Publié: (2024)

"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution
par: Tian, Zhao, et autres
Publié: (2026)

How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
par: AlOmar, Eman Abdullah, et autres
Publié: (2024)

SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
par: Xu, Yisen, 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)

Code Clone Refactoring in C# with Lambda Expressions
par: Kawamoto, Takuto, et autres
Publié: (2025)

The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-Based Code Generation
par: Fu, Yingjie, et autres
Publié: (2024)

Impermanent Identifiers: Enhanced Source Code Comprehension and Refactoring
par: Guerra, Eduardo Martins, et autres
Publié: (2024)

Greening Large Language Models of Code
par: Shi, Jieke, et autres
Publié: (2023)

Hotfixing Large Language Models for Code
par: Yang, Zhou, et autres
Publié: (2024)

Ecosystem of Large Language Models for Code
par: Yang, Zhou, et autres
Publié: (2024)

Refactoring Detection in C++ Programs with RefactoringMiner++
par: Ritz, Benjamin, et autres
Publié: (2025)

A Code Smell Refactoring Approach using GNNs
par: Zhang, HanYu, et autres
Publié: (2025)

Code Refactoring with LLM: A Comprehensive Evaluation With Few-Shot Settings
par: Tapader, Md. Raihan, et autres
Publié: (2025)

Evaluating the Effectiveness of Small Language Models in Detecting Refactoring Bugs
par: Gheyi, Rohit, et autres
Publié: (2025)

Dissect-and-Restore: AI-based Code Verification with Transient Refactoring
par: Wang, Changjie, et autres
Publié: (2025)

Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation
par: Gao, Xinyu, et autres
Publié: (2024)

Pragmatic Reasoning improves LLM Code Generation
par: Cao, Zhuchen, et autres
Publié: (2025)

Generating Automotive Code: Large Language Models for Software Development and Verification in Safety-Critical Systems
par: Kirchner, Sven, et autres
Publié: (2025)

Software Engineering Podcasts: An Empirical Study of Their Potential as a Research Resource
par: Wyrich, Marvin, et autres
Publié: (2026)

The Silent Scientist: When Software Research Fails to Reach Its Audience
par: Wyrich, Marvin, et autres
Publié: (2025)

Detecting Performance-Relevant Changes in Configurable Software Systems
par: Böhm, Sebastian, et autres
Publié: (2025)

Large Language Model Unlearning for Source Code
par: Jiang, Xue, et autres
Publié: (2025)

Teaching Code Refactoring Using LLMs
par: Khairnar, Anshul, et autres
Publié: (2025)

Personalized Code Readability Assessment: Are We There Yet?
par: Vitale, Antonio, et autres
Publié: (2025)

From Evaluation to Enhancement: Large Language Models for Zero-Knowledge Proof Code Generation
par: Xue, Zhantong, et autres
Publié: (2025)

Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMs
par: Midolo, Alessandro, et autres
Publié: (2025)

Refactoring Deep Learning Code: A Study of Practices and Unsatisfied Tool Needs
par: Wang, Siqi, et autres
Publié: (2024)