Extracting Fix Ingredients using Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Prenner, Julian Aron, Robbes, Romain |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simple Fault Localization using Execution Traces
by: Prenner, Julian Aron, et al.
Published: (2025)
by: Prenner, Julian Aron, et al.
Published: (2025)
Bogus Bugs, Duplicates, and Revealing Comments: Data Quality Issues in NPR
by: Prenner, Julian Aron, et al.
Published: (2025)
by: Prenner, Julian Aron, et al.
Published: (2025)
ThrowBench: Benchmarking LLMs by Predicting Runtime Exceptions
by: Prenner, Julian Aron, et al.
Published: (2025)
by: Prenner, Julian Aron, et al.
Published: (2025)
Are Coding Agents Generating Over-Mocked Tests? An Empirical Study
by: Hora, Andre, et al.
Published: (2026)
by: Hora, Andre, et al.
Published: (2026)
AI Policy, Disclosure, and Human in the Loop: How Are Contribution Guidelines Adapting to GenAI?
by: Hora, Andre, et al.
Published: (2026)
by: Hora, Andre, et al.
Published: (2026)
What the Fix? A Study of ASATs Rule Documentation
by: Latappy, Corentin, et al.
Published: (2024)
by: Latappy, Corentin, et al.
Published: (2024)
Client--Library Compatibility Testing with API Interaction Snapshots
by: Monce, Gustave, et al.
Published: (2025)
by: Monce, Gustave, et al.
Published: (2025)
Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity
by: Robbes, Romain, et al.
Published: (2026)
by: Robbes, Romain, et al.
Published: (2026)
Package-Aware Approach for Repository-Level Code Completion in Pharo
by: Abedelkader, Omar, et al.
Published: (2026)
by: Abedelkader, Omar, et al.
Published: (2026)
Agentic Much? Adoption of Coding Agents on GitHub
by: Robbes, Romain, et al.
Published: (2026)
by: Robbes, Romain, et al.
Published: (2026)
Roseau: Fast, Accurate, Source-based API Breaking Change Analysis in Java
by: Latappy, Corentin, et al.
Published: (2025)
by: Latappy, Corentin, et al.
Published: (2025)
Repair Ingredients Are All You Need: Improving Large Language Model-Based Program Repair via Repair Ingredients Search
by: Zhang, Jiayi, et al.
Published: (2025)
by: Zhang, Jiayi, et al.
Published: (2025)
Impermanent Identifiers: Enhanced Source Code Comprehension and Refactoring
by: Guerra, Eduardo Martins, et al.
Published: (2024)
by: Guerra, Eduardo Martins, et al.
Published: (2024)
DRAGON: Robust Classification for Very Large Collections of Software Repositories
by: Balla, Stefano, et al.
Published: (2026)
by: Balla, Stefano, et al.
Published: (2026)
Byam: Fixing Breaking Dependency Updates with Large Language Models
by: Reyes, Frank, et al.
Published: (2025)
by: Reyes, Frank, et al.
Published: (2025)
HAFix: History-Augmented Large Language Models for Bug Fixing
by: Shi, Yu, et al.
Published: (2025)
by: Shi, Yu, et al.
Published: (2025)
DeepFix: Debugging and Fixing Machine Learning Workflow using Agentic AI
by: Seydou, Fadel Mamar, et al.
Published: (2026)
by: Seydou, Fadel Mamar, et al.
Published: (2026)
Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
by: Tian, Zhao, et al.
Published: (2023)
by: Tian, Zhao, et al.
Published: (2023)
Fixing Function-Level Code Generation Errors for Foundation Large Language Models
by: Wen, Hao, et al.
Published: (2024)
by: Wen, Hao, et al.
Published: (2024)
Detecting and Fixing API Misuses of Data Science Libraries Using Large Language Models
by: Galappaththi, Akalanka, et al.
Published: (2025)
by: Galappaththi, Akalanka, et al.
Published: (2025)
APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation
by: Yang, Chengran, et al.
Published: (2023)
by: Yang, Chengran, et al.
Published: (2023)
Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
by: Chang, Jianming, et al.
Published: (2025)
by: Chang, Jianming, et al.
Published: (2025)
Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models
by: Zhang, Kunpeng, et al.
Published: (2025)
by: Zhang, Kunpeng, et al.
Published: (2025)
PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2025)
by: Zhang, Yuwei, et al.
Published: (2025)
VeriFix: Verifying Your Fix Towards An Atomicity Violation
by: Li, Zhuang, et al.
Published: (2025)
by: Li, Zhuang, et al.
Published: (2025)
Hot Fixing in the Wild
by: Hanna, Carol, et al.
Published: (2026)
by: Hanna, Carol, et al.
Published: (2026)
Seeing is Fixing: Cross-Modal Reasoning with Multimodal LLMs for Visual Software Issue Fixing
by: Huang, Kai, et al.
Published: (2025)
by: Huang, Kai, et al.
Published: (2025)
The Dangers of Non-Self-Fixed Architecture Technical Debt and Its Impact on Time-to-Fix
by: Sutoyo, Edi, et al.
Published: (2026)
by: Sutoyo, Edi, et al.
Published: (2026)
Fast Fixes and Faulty Drivers: An Empirical Analysis of Regression Bug Fixing Times in the Linux Kernel
by: Ruohonen, Jukka, et al.
Published: (2024)
by: Ruohonen, Jukka, et al.
Published: (2024)
Code Linting using Language Models
by: Holden, Darren, et al.
Published: (2024)
by: Holden, Darren, et al.
Published: (2024)
Leveraging Generative AI for Extracting Process Models from Multimodal Documents
by: Voelter, Marvin, et al.
Published: (2024)
by: Voelter, Marvin, et al.
Published: (2024)
On the use of Large Language Models in Model-Driven Engineering
by: Di Rocco, Juri, et al.
Published: (2024)
by: Di Rocco, Juri, et al.
Published: (2024)
Towards Extracting Software Requirements from App Reviews using Seq2seq Framework
by: Sorathiya, Aakash, et al.
Published: (2025)
by: Sorathiya, Aakash, et al.
Published: (2025)
On Fixing Insecure AI-Generated Code through Model Fine-Tuning and Prompting Strategies
by: Jahromi, Ali Soltanian Fard, et al.
Published: (2026)
by: Jahromi, Ali Soltanian Fard, et al.
Published: (2026)
MCeT: Behavioral Model Correctness Evaluation using Large Language Models
by: Ahmed, Khaled, et al.
Published: (2025)
by: Ahmed, Khaled, et al.
Published: (2025)
LLMorpheus: Mutation Testing using Large Language Models
by: Tip, Frank, et al.
Published: (2024)
by: Tip, Frank, et al.
Published: (2024)
Class Model Generation from Requirements using Large Language Models
by: Nguyen, Jackson, et al.
Published: (2026)
by: Nguyen, Jackson, et al.
Published: (2026)
Towards a Software Reference Architecture for Natural Language Processing Tools in Requirements Engineering
by: Frattini, Julian, et al.
Published: (2026)
by: Frattini, Julian, et al.
Published: (2026)
PathFix: Automated Program Repair with Expected Path
by: He, Xu, et al.
Published: (2025)
by: He, Xu, et al.
Published: (2025)
InfraFix: Technology-Agnostic Repair of Infrastructure as Code
by: Saavedra, Nuno, et al.
Published: (2025)
by: Saavedra, Nuno, et al.
Published: (2025)
Similar Items
-
Simple Fault Localization using Execution Traces
by: Prenner, Julian Aron, et al.
Published: (2025) -
Bogus Bugs, Duplicates, and Revealing Comments: Data Quality Issues in NPR
by: Prenner, Julian Aron, et al.
Published: (2025) -
ThrowBench: Benchmarking LLMs by Predicting Runtime Exceptions
by: Prenner, Julian Aron, et al.
Published: (2025) -
Are Coding Agents Generating Over-Mocked Tests? An Empirical Study
by: Hora, Andre, et al.
Published: (2026) -
AI Policy, Disclosure, and Human in the Loop: How Are Contribution Guidelines Adapting to GenAI?
by: Hora, Andre, et al.
Published: (2026)