:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dong, Yuchen, Fang, XiaoXiang, Hu, Yuchen, Jiang, Renshuang, Jiang, Zhe
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence
Online Access:	https://arxiv.org/abs/2408.03841
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AkiraRust: Re-thinking LLM-aided Rust Repair Using a Feedback-guided Thinking Switch
by: Jiang, Renshuang, et al.
Published: (2026)

Unlocking a New Rust Programming Experience: Fast and Slow Thinking with LLMs to Conquer Undefined Behaviors
by: Jiang, Renshuang, et al.
Published: (2025)

AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}
by: Lei, Bin, et al.
Published: (2024)

MEIC: Re-thinking RTL Debug Automation using LLMs
by: Xu, Ke, et al.
Published: (2024)

Redefining Crowdsourced Test Report Prioritization: An Innovative Approach with Large Language Model
by: Ling, Yuchen, et al.
Published: (2024)

LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators
by: Liu, Yuchen, et al.
Published: (2025)

Software Testing with Large Language Models: Survey, Landscape, and Vision
by: Wang, Junjie, et al.
Published: (2023)

How Effective are Large Language Models in Generating Software Specifications?
by: Xie, Danning, et al.
Published: (2023)

Agentic Software Issue Resolution with Large Language Models: A Survey
by: Jiang, Zhonghao, et al.
Published: (2025)

A Survey on Large Language Models for Software Engineering
by: Zhang, Quanjun, et al.
Published: (2023)

Self-planning Code Generation with Large Language Models
by: Jiang, Xue, et al.
Published: (2023)

The Current Challenges of Software Engineering in the Era of Large Language Models
by: Gao, Cuiyun, et al.
Published: (2024)

ARSP: Automated Repair of Verilog Designs via Semantic Partitioning
by: Yao, Bingkun, et al.
Published: (2025)

UVMarvel: an Automated LLM-aided UVM Machine for Subsystem-level RTL Verification
by: Ye, Junhao, et al.
Published: (2026)

Human-In-The-Loop Software Development Agents: Challenges and Future Directions
by: Pasuksmit, Jirat, et al.
Published: (2025)

VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction
by: Wang, Ning, et al.
Published: (2025)

Evaluating Large Language Models for Time Series Anomaly Detection in Aerospace Software
by: Liu, Yang, et al.
Published: (2026)

Large Language Model Unlearning for Source Code
by: Jiang, Xue, et al.
Published: (2025)

Exploring the Power of Diffusion Large Language Models for Software Engineering: An Empirical Investigation
by: Zhang, Jingyao, et al.
Published: (2025)

Enhancing Large Language Models with Retrieval Augmented Generation for Software Testing and Inspection Automation
by: Fingleton, Zoe, et al.
Published: (2026)

Generation of Asset Administration Shell with Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0
by: Xia, Yuchen, et al.
Published: (2024)

Local Features: Enhancing Variability Modeling in Software Product Lines
by: de Castro, David, et al.
Published: (2024)

Are LLMs Correctly Integrated into Software Systems?
by: Shao, Yuchen, et al.
Published: (2024)

PuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models
by: Huang, Haocheng, et al.
Published: (2026)

Self-Evolving Multi-Agent Collaboration Networks for Software Development
by: Hu, Yue, et al.
Published: (2024)

Context-Enhanced Vulnerability Detection Based on Large Language Model
by: Yang, Yixin, et al.
Published: (2025)

Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks
by: Hu, Xing, et al.
Published: (2025)

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement
by: Ma, Yingwei, et al.
Published: (2024)

Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model
by: Du, Xin, et al.
Published: (2024)

A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks
by: Hudson, Sinclair, et al.
Published: (2024)

Prioritizing Software Requirements Using Large Language Models
by: Sami, Malik Abdul, et al.
Published: (2024)

From Code Generation to Software Testing: AI Copilot with Context-Based RAG
by: Wang, Yuchen, et al.
Published: (2025)

Towards Automated Crowdsourced Testing via Personified-LLM
by: Yu, Shengcheng, et al.
Published: (2026)

CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
by: Zhao, Yuwei, et al.
Published: (2024)

Benchmarking Large Language Models for Multi-Language Software Vulnerability Detection
by: Zhang, Ting, et al.
Published: (2025)

Mind the Ethics! The Overlooked Ethical Dimensions of GenAI in Software Modeling Education
by: Chakraborty, Shalini, et al.
Published: (2025)

Scenario-Guided LLM-based Mobile App GUI Testing
by: Yu, Shengcheng, et al.
Published: (2025)

Software Testing with Large Language Models: An Interview Study with Practitioners
by: Santana, Maria Deolinda, et al.
Published: (2025)

Augmenting the Generality and Performance of Large Language Models for Software Engineering
by: Peña, Fabian C.
Published: (2025)

Measuring Determinism in Large Language Models for Software Code Review
by: Klishevich, Eugene, et al.
Published: (2025)