Cover Image

Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Er, Mehmet Bilal, İlhan, Nagehan, Kuran, Umut
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Prompting Is All You Need: Automated Android Bug Replay with Large Language Models
by: Feng, Sidong, et al.
Published: (2023)

Automated Duplicate Bug Report Detection in Large Open Bug Repositories
by: Laney, Clare E., et al.
Published: (2025)

HAFix: History-Augmented Large Language Models for Bug Fixing
by: Shi, Yu, et al.
Published: (2025)

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

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

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models
by: Lu, Wentao, et al.
Published: (2025)

PyResBugs: A Dataset of Residual Python Bugs for Natural Language-Driven Fault Injection
by: Cotroneo, Domenico, et al.
Published: (2025)

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

Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models
by: Yu, Xiao, et al.
Published: (2025)

LLPut: Investigating Large Language Models for Bug Report-Based Input Generation
by: Hasan, Alif Al, et al.
Published: (2025)

Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models
by: Tu, Haoxin, et al.
Published: (2023)

ViBR: Automated Bug Replay from Video-based Reports using Vision-Language Models
by: Feng, Sidong, et al.
Published: (2026)

Large Language Models Based JSON Parser Fuzzing for Bug Discovery and Behavioral Analysis
by: Zhong, Zhiyuan, et al.
Published: (2024)

Automated Code Review In Practice
by: Cihan, Umut, et al.
Published: (2024)

Automated Bug Report Prioritization in Large Open-Source Projects
by: Pierson, Riley, et al.
Published: (2025)

Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs
by: Wang, Jian, et al.
Published: (2025)

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
by: Pan, Rangeet, et al.
Published: (2023)

Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, et al.
Published: (2024)

Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)

An Empirical Study on Leveraging Images in Automated Bug Report Reproduction
by: Wang, Dingbang, et al.
Published: (2025)

Automated Generation of High-Quality Bug Reports for Android Applications
by: Saha, Antu, et al.
Published: (2026)

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

Evaluating the Effectiveness of Small Language Models in Detecting Refactoring Bugs
by: Gheyi, Rohit, et al.
Published: (2025)

SWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World Bugs
by: Pham, Minh V. T., et al.
Published: (2025)

Are Large Language Models Memorizing Bug Benchmarks?
by: Ramos, Daniel, et al.
Published: (2024)

LineBreaker: Finding Token-Inconsistency Bugs with Large Language Models
by: Chen, Hongbo, et al.
Published: (2024)

Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps
by: Wang, Dingbang, et al.
Published: (2024)

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2025)

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

ImproBR: Bug Report Improver Using LLMs
by: Akyol, Emre Furkan, et al.
Published: (2026)

Test Case Generation from Bug Reports via Large Language Models: A Cognitive Layered Evaluation Framework
by: Qureshi, Irtaza Sajid, et al.
Published: (2025)

Toward the Automated Localization of Buggy Mobile App UIs from Bug Descriptions
by: Saha, Antu, et al.
Published: (2024)

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

Combining Language and App UI Analysis for the Automated Assessment of Bug Reproduction Steps
by: Mahmud, Junayed, et al.
Published: (2025)

Bug Whispering: Towards Audio Bug Reporting
by: Masserini, Elena, et al.
Published: (2025)

Exploring Large Language Models for Analyzing and Improving Method Names in Scientific Code
by: Larsen, Gunnar, et al.
Published: (2025)

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

Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?
by: Kuran, Pelin Rabia, et al.
Published: (2026)

BugScope: Learn to Find Bugs Like Human
by: Guo, Jinyao, et al.
Published: (2025)