Cover Image

Less is More: Adaptive Program Repair with Bug Localization and Preference Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dai, Zhenlong, Chen, Bingrui, Zhao, Zhuoluo, Tang, Xiu, Wu, Sai, Yao, Chang, Gao, Zhipeng, Chen, Jingyuan
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
by: Dai, Zhenlong, et al.
Published: (2026)

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

Challenging Bug Prediction and Repair Models with Synthetic Bugs
by: Ibrahimzada, Ali Reza, et al.
Published: (2023)

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

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

Dynamic Cogeneration of Bug Reproduction Test in Agentic Program Repair
by: Cheng, Runxiang, et al.
Published: (2026)

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

Leveraging Data Characteristics for Bug Localization in Deep Learning Programs
by: Manke, Ruchira, et al.
Published: (2024)

Human Attention During Localization of Memory Bugs in C Programs
by: Smith, Emory, et al.
Published: (2025)

Less is More: DocString Compression in Code Generation
by: Yang, Guang, et al.
Published: (2024)

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

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

Characterising Bugs in Jupyter Platform
by: Tang, Yutian, et al.
Published: (2025)

GitBugs: Bug Reports for Duplicate Detection, Retrieval Augmented Generation, Triage, and More
by: Patil, Avinash, et al.
Published: (2025)

Checker Bug Detection and Repair in Deep Learning Libraries
by: Harzevili, Nima Shiri, et al.
Published: (2024)

Characterizing Real-World Bugs in Tile Programs for Automated Bug Detection
by: Rathnasuriya, Ravishka, et al.
Published: (2026)

Fixing 7,400 Bugs for 1$: Cheap Crash-Site Program Repair
by: Zheng, Han, et al.
Published: (2025)

Gradient-Based Program Repair: Fixing Bugs in Continuous Program Spaces
by: Silva, André, et al.
Published: (2025)

LadyBug: A GitHub Bot for UI-Enhanced Bug Localization in Mobile Apps
by: Mahmud, Junayed, et al.
Published: (2025)

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

Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets
by: Mai, Yubo, et al.
Published: (2025)

PanicFI: An Infrastructure for Fixing Panic Bugs in Real-World Rust Programs
by: Ni, Yunbo, et al.
Published: (2024)

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
by: Chang, Jianming, et al.
Published: (2025)

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem
by: Peng, Yun, et al.
Published: (2023)

There are More Fish in the Sea: Automated Vulnerability Repair via Binary Templates
by: Lin, Bo, et al.
Published: (2024)

Chasing Elusive Memory Bugs in GPU Programs
by: Ghosh, Anubhab, et al.
Published: (2026)

LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models
by: Liu, Zhijie, et al.
Published: (2024)

Improving MPI Error Detection and Repair with Large Language Models and Bug References
by: Piersall, Scott, et al.
Published: (2026)

SelfHeal: Empirical Fix Pattern Analysis and Bug Repair in LLM Agents
by: Islam, Niful, et al.
Published: (2026)

BugsInPy: A Database of Existing Bugs in Python Programs to Enable Controlled Testing and Debugging Studies
by: Widyasari, Ratnadira, et al.
Published: (2024)

BugRepro: Enhancing Android Bug Reproduction with Domain-Specific Knowledge Integration
by: Yin, Hongrong, et al.
Published: (2025)

Understanding Bugs in Template Engine-Based Applications: Symptoms, Root Causes, and Fix Patterns
by: Gao, Kai, et al.
Published: (2026)

CUPID: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection
by: Zhang, Ting, et al.
Published: (2023)

An Empirical Study on the Capability of LLMs in Decomposing Bug Reports
by: Chen, Zhiyuan, et al.
Published: (2025)

GALA: Multimodal Graph Alignment for Bug Localization in Automated Program Repair
by: Liu, Zhuoyao, et al.
Published: (2026)

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

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

SysPro: Reproducing System-level Concurrency Bugs from Bug Reports
by: Zaman, Tarannum Shaila, et al.
Published: (2026)

CMind: An AI Agent for Localizing C Memory Bugs
by: Su, Chia-Yi, et al.
Published: (2026)

Deep Learning Based Concurrency Bug Detection and Localization
by: Feng, Zuocheng, et al.
Published: (2025)