A Code Smell Refactoring Approach using GNNs
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, HanYu, Kishi, Tomoji |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SACS: A Code Smell Dataset using Semi-automatic Generation Approach
by: Zhang, Hanyu, et al.
Published: (2026)
by: Zhang, Hanyu, et al.
Published: (2026)
ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells
by: Nursapa, Samal, et al.
Published: (2025)
by: Nursapa, Samal, et al.
Published: (2025)
The Role of the Retrospective Meetings in Detecting, Refactoring and Monitoring Community Smells
by: Dantas, Carlos, et al.
Published: (2025)
by: Dantas, Carlos, et al.
Published: (2025)
Fixing Your Own Smells: Adding a Mistake-Based Familiarisation Step When Teaching Code Refactoring
by: Tan, Ivan, et al.
Published: (2024)
by: Tan, Ivan, et al.
Published: (2024)
"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution
by: Tian, Zhao, et al.
Published: (2026)
by: Tian, Zhao, et al.
Published: (2026)
Prompt Learning for Multi-Label Code Smell Detection: A Promising Approach
by: Liu, Haiyang, et al.
Published: (2024)
by: Liu, Haiyang, et al.
Published: (2024)
How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
by: AlOmar, Eman Abdullah, et al.
Published: (2024)
by: AlOmar, Eman Abdullah, et al.
Published: (2024)
SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
by: Xu, Yisen, et al.
Published: (2026)
by: Xu, Yisen, et al.
Published: (2026)
The Influence of Code Smells in Efferent Neighbors on Class Stability
by: Zhang, Zushuai, et al.
Published: (2026)
by: Zhang, Zushuai, et al.
Published: (2026)
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)
BayesFLo: Bayesian fault localization of complex software systems
by: Ji, Yi, et al.
Published: (2024)
by: Ji, Yi, et al.
Published: (2024)
Bayesian Data Analysis in Empirical Software Engineering Research
by: Furia, Carlo A., et al.
Published: (2018)
by: Furia, Carlo A., et al.
Published: (2018)
Code Clone Refactoring in C# with Lambda Expressions
by: Kawamoto, Takuto, et al.
Published: (2025)
by: Kawamoto, Takuto, et al.
Published: (2025)
Copy-and-Paste? Identifying EVM-Inequivalent Code Smells in Multi-chain Reuse Contracts
by: Wang, Zexu, et al.
Published: (2025)
by: Wang, Zexu, et al.
Published: (2025)
Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review
by: Zhang, Fengji, et al.
Published: (2024)
by: Zhang, Fengji, et al.
Published: (2024)
Impermanent Identifiers: Enhanced Source Code Comprehension and Refactoring
by: Guerra, Eduardo Martins, et al.
Published: (2024)
by: Guerra, Eduardo Martins, et al.
Published: (2024)
A Novel Taxonomy and Classification Scheme for Code Smell Interactions
by: Gupta, Ruchin, et al.
Published: (2025)
by: Gupta, Ruchin, 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)
Towards Automated Detection of Inline Code Comment Smells
by: Oztas, Ipek, et al.
Published: (2025)
by: Oztas, Ipek, et al.
Published: (2025)
Empirical Characterization of Logging Smells in Machine Learning Code
by: Foalem, Patrick Loic, et al.
Published: (2026)
by: Foalem, Patrick Loic, et al.
Published: (2026)
Empirical Characterization of Logging Smells in Machine Learning Code
by: Foalem, Patrick Loic, et al.
Published: (2026)
by: Foalem, Patrick Loic, et al.
Published: (2026)
An Empirical Evaluation of Code Smell Detection in Angular Applications
by: Nunes, Maykon, et al.
Published: (2026)
by: Nunes, Maykon, et al.
Published: (2026)
Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot
by: Zhang, Beiqi, et al.
Published: (2024)
by: Zhang, Beiqi, et al.
Published: (2024)
Refactoring Detection in C++ Programs with RefactoringMiner++
by: Ritz, Benjamin, et al.
Published: (2025)
by: Ritz, Benjamin, et al.
Published: (2025)
Code Refactoring with LLM: A Comprehensive Evaluation With Few-Shot Settings
by: Tapader, Md. Raihan, et al.
Published: (2025)
by: Tapader, Md. Raihan, et al.
Published: (2025)
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection
by: Zhang, Beiqi, et al.
Published: (2024)
by: Zhang, Beiqi, et al.
Published: (2024)
Dissect-and-Restore: AI-based Code Verification with Transient Refactoring
by: Wang, Changjie, et al.
Published: (2025)
by: Wang, Changjie, et al.
Published: (2025)
An Empirical Study on the Code Refactoring Capability of Large Language Models
by: Cordeiro, Jonathan, et al.
Published: (2024)
by: Cordeiro, Jonathan, et al.
Published: (2024)
Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation
by: Gao, Xinyu, et al.
Published: (2024)
by: Gao, Xinyu, et al.
Published: (2024)
Teaching Code Refactoring Using LLMs
by: Khairnar, Anshul, et al.
Published: (2025)
by: Khairnar, Anshul, et al.
Published: (2025)
On the Prevalence, Evolution, and Impact of Code Smells in Simulation Modelling Software
by: Mahbub, Riasat, et al.
Published: (2024)
by: Mahbub, Riasat, et al.
Published: (2024)
Automated Refactoring of Non-Idiomatic Python Code: A Differentiated Replication with LLMs
by: Midolo, Alessandro, et al.
Published: (2025)
by: Midolo, Alessandro, et al.
Published: (2025)
Assessing the Bug-Proneness of Refactored Code: A Longitudinal Multi-Project Study
by: Ferreira, Isabella, et al.
Published: (2025)
by: Ferreira, Isabella, et al.
Published: (2025)
Refactoring Deep Learning Code: A Study of Practices and Unsatisfied Tool Needs
by: Wang, Siqi, et al.
Published: (2024)
by: Wang, Siqi, et al.
Published: (2024)
Specification and Detection of LLM Code Smells
by: Mahmoudi, Brahim, et al.
Published: (2025)
by: Mahmoudi, Brahim, et al.
Published: (2025)
Investigating The Smells of LLM Generated Code
by: Paul, Debalina Ghosh, et al.
Published: (2025)
by: Paul, Debalina Ghosh, et al.
Published: (2025)
Clean Code, Better Models: Enhancing LLM Performance with Smell-Cleaned Dataset
by: Xue, Zhipeng, et al.
Published: (2025)
by: Xue, Zhipeng, et al.
Published: (2025)
LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
by: Siddeeq, Shahbaz, et al.
Published: (2025)
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)
by: AlOmar, Eman Abdullah, et al.
Published: (2025)
Automated Refactoring of Legacy JavaScript Code to ES6 Modules
by: Paltoglou, Katerina, et al.
Published: (2021)
by: Paltoglou, Katerina, et al.
Published: (2021)
Similar Items
-
SACS: A Code Smell Dataset using Semi-automatic Generation Approach
by: Zhang, Hanyu, et al.
Published: (2026) -
ROSE: Transformer-Based Refactoring Recommendation for Architectural Smells
by: Nursapa, Samal, et al.
Published: (2025) -
The Role of the Retrospective Meetings in Detecting, Refactoring and Monitoring Community Smells
by: Dantas, Carlos, et al.
Published: (2025) -
Fixing Your Own Smells: Adding a Mistake-Based Familiarisation Step When Teaching Code Refactoring
by: Tan, Ivan, et al.
Published: (2024) -
"Refactoring Runaway": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution
by: Tian, Zhao, et al.
Published: (2026)