Imagen de Portada

RisConFix: LLM-based Automated Repair of Risk-Prone Drone Configurations

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Han, Liping, Nie, Tingting, Yu, Le, Hu, Mingzhe, Yue, Tao
Formato:	Preprint
Publicado:	2025
Materias:	Software Engineering Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

An Empirical Study on LLM-based Agents for Automated Bug Fixing
por: Meng, Xiangxin, et al.
Publicado: (2024)

DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
por: Huang, Zhili, et al.
Publicado: (2025)

SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair
por: Gajjar, Jugal, et al.
Publicado: (2025)

Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
por: Wen, Xin-Cheng, et al.
Publicado: (2025)

LLM-based Zero-shot Triple Extraction for Automated Ontology Generation from Software Engineering Standards
por: Yue, Songhui
Publicado: (2025)

Still Manual? Automated Linter Configuration via DSL-Based LLM Compilation of Coding Standards
por: Zhang, Zejun, et al.
Publicado: (2026)

PathFix: Automated Program Repair with Expected Path
por: He, Xu, et al.
Publicado: (2025)

Semantic Evolution over Populations for LLM-Guided Automated Program Repair
por: Le, Cuong Chi, et al.
Publicado: (2026)

RepoRepair: Leveraging Code Documentation for Repository-Level Automated Program Repair
por: Pan, Zhongqiang, et al.
Publicado: (2026)

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

Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools
por: Son, Ha Min, et al.
Publicado: (2025)

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
por: Bouzenia, Islem, et al.
Publicado: (2024)

Enhancing Automated Program Repair with Solution Design
por: Zhao, Jiuang, et al.
Publicado: (2024)

Collaborative Agents for Automated Program Repair in Ruby
por: Akbarpour, Nikta, et al.
Publicado: (2025)

Evaluating the Generalizability of LLMs in Automated Program Repair
por: Li, Fengjie, et al.
Publicado: (2025)

A Survey of LLM-based Automated Program Repair: Taxonomies, Design Paradigms, and Applications
por: Yang, Boyang, et al.
Publicado: (2025)

Dividable Configuration Performance Learning
por: Gong, Jingzhi, et al.
Publicado: (2024)

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study
por: Antal, Gábor, et al.
Publicado: (2025)

AutoDroid: LLM-powered Task Automation in Android
por: Wen, Hao, et al.
Publicado: (2023)

MarsCode Agent: AI-native Automated Bug Fixing
por: Liu, Yizhou, et al.
Publicado: (2024)

Repair-R1: Better Test Before Repair
por: Hu, Haichuan, et al.
Publicado: (2025)

MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
por: Dehghan, Meghdad, et al.
Publicado: (2024)

CoTune: Co-evolutionary Configuration Tuning
por: Xiong, Gangda, et al.
Publicado: (2025)

Evolving Excellence: Automated Optimization of LLM-based Agents
por: Brookes, Paul, et al.
Publicado: (2025)

AutoEmpirical: LLM-Based Automated Research for Empirical Software Fault Analysis
por: Yu, Jiongchi, et al.
Publicado: (2025)

From Defects to Demands: A Unified, Iterative, and Heuristically Guided LLM-Based Framework for Automated Software Repair and Requirement Realization
por: Alex, et al.
Publicado: (2024)

RAT: RunAnyThing via Fully Automated Environment Configuration
por: Huang, Renhong, et al.
Publicado: (2026)

Integrating Various Software Artifacts for Better LLM-based Bug Localization and Program Repair
por: Feng, Qiong, et al.
Publicado: (2024)

A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair
por: Khan, Zanis Ali, et al.
Publicado: (2025)

Agentic Bug Reproduction for Effective Automated Program Repair at Google
por: Cheng, Runxiang, et al.
Publicado: (2025)

Self-Bootstrapping Automated Program Repair: Using LLMs to Generate and Evaluate Synthetic Training Data for Bug Repair
por: de-Fitero-Dominguez, David, et al.
Publicado: (2025)

EmbedGenius: Towards Automated Software Development for Generic Embedded IoT Systems
por: Yang, Huanqi, et al.
Publicado: (2024)

Distilled Lifelong Self-Adaptation for Configurable Systems
por: Ye, Yulong, et al.
Publicado: (2025)

Automated Validation of LLM-based Evaluators for Software Engineering Artifacts
por: Fandina, Ora Nova, et al.
Publicado: (2025)

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
por: Zhao, Yicong, et al.
Publicado: (2025)

Automated Repair of AI Code with Large Language Models and Formal Verification
por: Charalambous, Yiannis, et al.
Publicado: (2024)

Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing
por: Le-Cong, Thanh, et al.
Publicado: (2024)

Memory-Efficient Large Language Models for Program Repair with Semantic-Guided Patch Generation
por: Le-Cong, Thanh, et al.
Publicado: (2024)

LLM-based Automated Architecture View Generation: Where Are We Now?
por: Sathvika, Miryala, et al.
Publicado: (2026)

LLM For Loop Invariant Generation and Fixing: How Far Are We?
por: Akhond, Mostafijur Rahman, et al.
Publicado: (2025)