:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mao, Zhenyu, Keung, Jacky, Zhang, Fengji, Liu, Shuo, Wang, Yifei, Li, Jialong
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2510.12120
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Requirements Engineering for GenAI-Enabled Software: Bridging Responsibility Gaps through Human Oversight Requirements
by: Mao, Zhenyu, et al.
Published: (2025)

Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
by: Mao, Zhenyu, et al.
Published: (2025)

Chart2Code-MoLA: Efficient Multi-Modal Code Generation via Adaptive Expert Routing
by: Wang, Yifei, et al.
Published: (2025)

FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection
by: Liao, Yihan, et al.
Published: (2025)

R2Code: A Self-Reflective LLM Framework for Requirements-to-Code Traceability
by: Wang, Yifei, et al.
Published: (2026)

Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review
by: Zhang, Fengji, et al.
Published: (2024)

R2ComSync: Improving Code-Comment Synchronization with In-Context Learning and Reranking
by: Yang, Zhen, et al.
Published: (2025)

Multi-role Consensus through LLMs Discussions for Vulnerability Detection
by: Mao, Zhenyu, et al.
Published: (2024)

An Empirical Study of Perceptions of General LLMs and Multimodal LLMs on Hugging Face
by: Liu, Yujian, et al.
Published: (2026)

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study
by: Liu, Shuo, et al.
Published: (2024)

Lightweight Model Editing for LLMs to Correct Deprecated API Recommendations
by: Lin, Guancheng, et al.
Published: (2025)

Unlocking LLM Repair Capabilities Through Cross-Language Translation and Multi-Agent Refinement
by: Luo, Wenqiang, et al.
Published: (2025)

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

Empirical Insights of Test Selection Metrics under Multiple Testing Objectives and Distribution Shifts
by: Zhang, Jingyu, et al.
Published: (2026)

A Comprehensive Study of Bugs in Modern Distributed Deep Learning Systems
by: Ma, Xiaoxue, et al.
Published: (2025)

SysTradeBench: An Iterative Build-Test-Patch Benchmark for Strategy-to-Code Trading Systems with Drift-Aware Diagnostics
by: Cao, Yuchen, et al.
Published: (2026)

SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models
by: Cai, Jinyu, et al.
Published: (2025)

UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems
by: Zhang, Jingyu, et al.
Published: (2026)

Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?
by: Yu, Xiao, et al.
Published: (2024)

Exposing and Defending Membership Leakage in Vulnerability Prediction Models
by: Liao, Yihan, et al.
Published: (2025)

ClassEval-T: Evaluating Large Language Models in Class-Level Code Translation
by: Xue, Pengyu, et al.
Published: (2024)

On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations
by: Ma, Xiaoxue, et al.
Published: (2024)

When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair
by: Luo, Wenqiang, et al.
Published: (2024)

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
by: Yang, Zhen, et al.
Published: (2024)

Practitioners' Expectations on Log Anomaly Detection
by: Ma, Xiaoxue, et al.
Published: (2024)

ATTest: Agent-Driven Tensor Testing for Deep Learning Library Modules
by: Zhan, Zhengyu, et al.
Published: (2026)

Atomizer: An LLM-based Collaborative Multi-Agent Framework for Intent-Driven Commit Untangling
by: Zhu, Kangchen, et al.
Published: (2026)

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
by: Zhou, Chenyu, et al.
Published: (2026)

A Multi-Agent Consensus Protocol for Stable Software Remodularization
by: Ibrahim, Ahmed F.
Published: (2026)

EET: Experience-Driven Early Termination for Cost-Efficient Software Engineering Agents
by: Guo, Yaoqi, et al.
Published: (2026)

May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs
by: Yang, Shaoyu, et al.
Published: (2025)

Breaking Single-Tester Limits: Multi-Agent LLMs for Multi-User Feature Testing
by: Feng, Sidong, et al.
Published: (2025)

Hallucination to Consensus: Multi-Agent LLMs for End-to-End JUnit Test Generation
by: Xu, Qinghua, et al.
Published: (2025)

Distributed Approach to Haskell Based Applications Refactoring with LLMs Based Multi-Agent Systems
by: Siddeeq, Shahbaz, et al.
Published: (2025)

Amplifiers or Equalizers? A Longitudinal Study of LLM Evolution in Software Engineering Project-Based Learning
by: Kataoka, Hana, et al.
Published: (2025)

WebMAC: A Multi-Agent Collaborative Framework for Scenario Testing of Web Systems
by: Wan, Zhenyu, et al.
Published: (2026)

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs
by: Mo, Wenjie Jacky, et al.
Published: (2025)

MARE: Multi-Agents Collaboration Framework for Requirements Engineering
by: Jin, Dongming, et al.
Published: (2024)

AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-Agents
by: Zhang, Lingzhe, et al.
Published: (2025)

Write Your Own CodeChecker: An Automated Test-Driven Checker Development Approach with LLMs
by: Liu, Jun, et al.
Published: (2024)