:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qureshi, Irtaza Sajid, Ming, Zhen, Jiang
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2510.05365
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports
by: Ouédraogo, Wendkûuni C., et al.
Published: (2023)

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)

Bridging the Interpretation Gap in Accessibility Testing: Empathetic and Legal-Aware Bug Report Generation via Large Language Models
by: Koyama, Ryoya, et al.
Published: (2026)

TestBench: Evaluating Class-Level Test Case Generation Capability of Large Language Models
by: Zhang, Quanjun, et al.
Published: (2024)

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

English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports
by: Patil, Avinash, et al.
Published: (2025)

Testing Refactoring Engine via Historical Bug Report driven LLM
by: Wang, Haibo, et al.
Published: (2025)

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

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

Large Language Models as Test Case Generators: Performance Evaluation and Enhancement
by: Li, Kefan, et al.
Published: (2024)

On the Evaluation of Large Language Models in Unit Test Generation
by: Yang, Lin, et al.
Published: (2024)

TESTEVAL: Benchmarking Large Language Models for Test Case Generation
by: Wang, Wenhan, et al.
Published: (2024)

LLMs as Evaluators: A Novel Approach to Evaluate Bug Report Summarization
by: Kumar, Abhishek, et al.
Published: (2024)

BugForge: Constructing and Utilizing DBMS Bug Repository to Enhance DBMS Testing
by: Li, Dawei, et al.
Published: (2026)

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

Bugs in Large Language Models Generated Code: An Empirical Study
by: Tambon, Florian, 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)

A Tool for Test Case Scenarios Generation Using Large Language Models
by: Sami, Abdul Malik, et al.
Published: (2024)

Comparative Evaluation of Large Language Models for Test-Skeleton Generation
by: Boorlagadda, Subhang, et al.
Published: (2025)

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
by: Liu, Kaibo, et al.
Published: (2024)

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

Acceptance Test Generation with Large Language Models: An Industrial Case Study
by: Ferreira, Margarida, et al.
Published: (2025)

AssertFlip: Reproducing Bugs via Inversion of LLM-Generated Passing Tests
by: Khatib, Lara, et al.
Published: (2025)

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation
by: Yang, Chen, et al.
Published: (2026)

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

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

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

Automatic High-Level Test Case Generation using Large Language Models
by: Hasan, Navid Bin, et al.
Published: (2025)

Automated Control Logic Test Case Generation using Large Language Models
by: Koziolek, Heiko, et al.
Published: (2024)

Analyzing the Instability of Large Language Models in Automated Bug Injection and Correction
by: Er, Mehmet Bilal, et al.
Published: (2025)

Identifying Concurrency Bug Reports via Linguistic Patterns
by: Shao, Shuai, et al.
Published: (2026)

Toward Understanding Deep Learning Framework Bugs
by: Chen, Junjie, et al.
Published: (2022)

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

Testing Framework Migration with Large Language Models
by: Alves, Altino, et al.
Published: (2026)

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

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

BugMentor: Generating Answers to Follow-up Questions from Software Bug Reports using Structured Information Retrieval and Neural Text Generation
by: Mukherjee, Usmi, et al.
Published: (2023)

Duplicate Bug Report Detection: How Far Are We?
by: Zhang, Ting, et al.
Published: (2022)

BugsRepo: A Comprehensive Curated Dataset of Bug Reports, Comments and Contributors Information from Bugzilla
by: Acharya, Jagrit, et al.
Published: (2025)