Imagen de Portada

Code Linting using Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Holden, Darren, Kahani, Nafiseh
Formato:	Preprint
Publicado:	2024
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Automated Test Case Repair Using Language Models
por: Yaraghi, Ahmadreza Saboor, et al.
Publicado: (2024)

Testing Agentic Workflows with Structural Coverage Criteria
por: Kahani, Nafiseh, et al.
Publicado: (2026)

Understanding Defects in Generated Codes by Language Models
por: Esfahani, Ali Mohammadi, et al.
Publicado: (2024)

Prompt Optimization for LLM Code Generation via Reinforcement Learning
por: Esfahani, Ali Mohammadi, et al.
Publicado: (2026)

Scalable and Accurate Test Case Prioritization in Continuous Integration Contexts
por: Yaraghi, Ahmadreza Saboor, et al.
Publicado: (2021)

MetaLint: Easy-to-Hard Generalization for Code Linting
por: Naik, Atharva, et al.
Publicado: (2025)

Beyond Rules: LLM-Powered Linting for Quantum Programs
por: Cassieri, Pietro, et al.
Publicado: (2026)

ng-reactive-lint: Smarter Linting for Angular Apps
por: Balasubramanian, Shrinivass Arunachalam
Publicado: (2025)

Linting Style and Substance in READMEs
por: Mynampaty, Hima, et al.
Publicado: (2026)

Quantum Program Linting with LLMs: Emerging Results from a Comparative Study
por: Shin, Seung Yeob, et al.
Publicado: (2025)

Reinforcement Learning-Driven Adaptation Chains: A Robust Framework for Multi-Cloud Workflow Security
por: Soveizi, Nafiseh, et al.
Publicado: (2025)

Analyzing Quantum Programs with LintQ: A Static Analysis Framework for Qiskit
por: Paltenghi, Matteo, et al.
Publicado: (2023)

ATLAS: Automated Toolkit for Large-Scale Verified Code Synthesis
por: Baksys, Mantas, et al.
Publicado: (2025)

GIRT-Model: Automated Generation of Issue Report Templates
por: Nikeghbal, Nafiseh, et al.
Publicado: (2024)

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
por: Rzig, Dhia Elhaq, et al.
Publicado: (2025)

Hotfixing Large Language Models for Code
por: Yang, Zhou, et al.
Publicado: (2024)

Ecosystem of Large Language Models for Code
por: Yang, Zhou, et al.
Publicado: (2024)

Greening Large Language Models of Code
por: Shi, Jieke, et al.
Publicado: (2023)

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
por: Li, Yuanpeng, et al.
Publicado: (2025)

An Empirical Study on Low-Code Programming using Traditional vs Large Language Model Support
por: Liu, Yongkun, et al.
Publicado: (2024)

Large Language Model Unlearning for Source Code
por: Jiang, Xue, et al.
Publicado: (2025)

Beyond Language Boundaries: Uncovering Programming Language Families for Code Language Models
por: Yun, Shangbo, et al.
Publicado: (2025)

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
por: Ashraf, Humza, et al.
Publicado: (2025)

NoCodeGPT: A No-Code Interface for Building Web Apps with Language Models
por: Monteiro, Mauricio, et al.
Publicado: (2023)

Can Large Language Models Generate Geospatial Code?
por: Hou, Shuyang, et al.
Publicado: (2024)

Optimizing Large Language Model Hyperparameters for Code Generation
por: Arora, Chetan, et al.
Publicado: (2024)

Impact of Large Language Models of Code on Fault Localization
por: Ji, Suhwan, et al.
Publicado: (2024)

Reassessing Code Authorship Attribution in the Era of Language Models
por: Dipongkor, Atish Kumar, et al.
Publicado: (2025)

Automated Harmfulness Testing for Code Large Language Models
por: Tan, Honghao, et al.
Publicado: (2025)

Assertion Messages with Large Language Models (LLMs) for Code
por: Aljohani, Ahmed, et al.
Publicado: (2025)

Large Language Models for Code Generation: The Practitioners Perspective
por: Rasheed, Zeeshan, et al.
Publicado: (2025)

Aligning Requirement for Large Language Model's Code Generation
por: Tian, Zhao, et al.
Publicado: (2025)

Self-planning Code Generation with Large Language Models
por: Jiang, Xue, et al.
Publicado: (2023)

Harnessing Large Language Models for Curated Code Reviews
por: Sghaier, Oussama Ben, et al.
Publicado: (2025)

ACECode: A Reinforcement Learning Framework for Aligning Code Efficiency and Correctness in Code Language Models
por: Yang, Chengran, et al.
Publicado: (2024)

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks
por: Lu, Jiawei, et al.
Publicado: (2024)

A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models
por: He, Xiao, et al.
Publicado: (2025)

Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models
por: Zhang, Sheng, et al.
Publicado: (2023)

DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies
por: Dau, Anh T. V., et al.
Publicado: (2023)

Can Large Language Models Serve as Evaluators for Code Summarization?
por: Wu, Yang, et al.
Publicado: (2024)