Copertina

Hybrid Automated Program Repair by Combining Large Language Models and Program Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Fengjie, Jiang, Jiajun, Sun, Jiajun, Zhang, Hongyu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Empirical Evaluation of Large Language Models in Automated Program Repair
di: Sun, Jiajun, et al.
Pubblicazione: (2025)

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

Boosting Redundancy-based Automated Program Repair by Fine-grained Pattern Mining
di: Jiang, Jiajun, et al.
Pubblicazione: (2023)

Improving Compiler Bug Isolation by Leveraging Large Language Models
di: Qi, Yixian, et al.
Pubblicazione: (2025)

A Systematic Literature Review on Large Language Models for Automated Program Repair
di: Zhang, Quanjun, et al.
Pubblicazione: (2024)

Automated Repair of C Programs Using Large Language Models
di: Farzandway, Mahdi, et al.
Pubblicazione: (2025)

Exploring Generalizable Automated Program Repair with Large Language Models
di: Campos, Viola, et al.
Pubblicazione: (2025)

LLM-based Vulnerability Detection at Project Scale: An Empirical Study
di: Li, Fengjie, et al.
Pubblicazione: (2026)

Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models
di: Yang, Aidan Z. H., et al.
Pubblicazione: (2024)

Exploring Parameter-Efficient Fine-Tuning of Large Language Model on Automated Program Repair
di: Li, Guochang, et al.
Pubblicazione: (2024)

Specification Vibing for Automated Program Repair
di: Zhu, Taohong, et al.
Pubblicazione: (2026)

A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair
di: Zhang, Quanjun, et al.
Pubblicazione: (2023)

Automated Program Repair Based on REST API Specifications Using Large Language Models
di: Yamagishi, Katsuki, et al.
Pubblicazione: (2025)

The Impact of Program Reduction on Automated Program Repair
di: Vidziunas, Linas, et al.
Pubblicazione: (2024)

ThinkRepair: Self-Directed Automated Program Repair
di: Yin, Xin, et al.
Pubblicazione: (2024)

RGFL: Reasoning Guided Fault Localization for Automated Program Repair Using Large Language Models
di: Sepidband, Melika, et al.
Pubblicazione: (2026)

TSAPR: A Tree Search Framework For Automated Program Repair
di: Hu, Haichuan, et al.
Pubblicazione: (2025)

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

Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair
di: Cai, Xuemeng, et al.
Pubblicazione: (2025)

Practical Program Repair in the Era of Large Pre-trained Language Models
di: Xia, Chunqiu Steven, et al.
Pubblicazione: (2022)

Energy Consumption of Automated Program Repair
di: Martinez, Matias, et al.
Pubblicazione: (2022)

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

Combining Logic with Large Language Models for Automatic Debugging and Repair of ASP Programs
di: Brancas, Ricardo, et al.
Pubblicazione: (2024)

Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search
di: Zhang, Jiayi, et al.
Pubblicazione: (2025)

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

Adversarial Bug Reports as a Security Risk in Language Model-Based Automated Program Repair
di: Przymus, Piotr, et al.
Pubblicazione: (2025)

How Small is Enough? Empirical Evidence of Quantized Small Language Models for Automated Program Repair
di: Kusama, Kazuki, et al.
Pubblicazione: (2025)

RESTORE: Retrospective Fault Localization Enhancing Automated Program Repair
di: Xu, Tongtong, et al.
Pubblicazione: (2019)

On The Effectiveness of Dynamic Reduction Techniques in Automated Program Repair
di: Al-Bataineh, Omar I.
Pubblicazione: (2024)

Towards Practical and Useful Automated Program Repair for Debugging
di: Xin, Qi, et al.
Pubblicazione: (2024)

BUGSPHP: A dataset for Automated Program Repair in PHP
di: Pramod, K. D., et al.
Pubblicazione: (2024)

RePair: Automated Program Repair with Process-based Feedback
di: Zhao, Yuze, et al.
Pubblicazione: (2024)

DebugRepair: Enhancing LLM-Based Automated Program Repair via Self-Directed Debugging
di: Wu, Linhao, et al.
Pubblicazione: (2026)

Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-shot Learning
di: Xia, Chunqiu Steven, et al.
Pubblicazione: (2022)

T5APR: Empowering Automated Program Repair across Languages through Checkpoint Ensemble
di: Gharibi, Reza, et al.
Pubblicazione: (2023)

Search-based Automated Program Repair of CPS Controllers Modeled in Simulink-Stateflow
di: Arrieta, Aitor, et al.
Pubblicazione: (2024)

RePurr: Automated Repair of Block-Based Learners' Programs
di: Schweikl, Sebastian, et al.
Pubblicazione: (2025)

Reinforcement Learning for Mutation Operator Selection in Automated Program Repair
di: Hanna, Carol, et al.
Pubblicazione: (2023)

ASAP-Repair: API-Specific Automated Program Repair Based on API Usage Graphs
di: Nielebock, Sebastian, et al.
Pubblicazione: (2024)

A Deep Dive into Large Language Models for Automated Bug Localization and Repair
di: Hossain, Soneya Binta, et al.
Pubblicazione: (2024)