:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Ru, Shen, Jingwei, He, Xiao
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2410.09854
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Hybrid Approach for EMF Code Generation:Code Templates Meet Large Language Models
by: He, Xiao, et al.
Published: (2025)

From What to How: Bridging User Requirements with Software Development Using Large Language Models
by: He, Xiao, et al.
Published: (2026)

Are Prompts All You Need? Evaluating Prompt-Based Large Language Models (LLM)s for Software Requirements Classification
by: Binkhonain, Manal, et al.
Published: (2025)

LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
by: Ye, Jingwei, et al.
Published: (2025)

How We Built Cedar: A Verification-Guided Approach
by: Disselkoen, Craig, et al.
Published: (2024)

From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps
by: Mao, Yuetian, et al.
Published: (2025)

Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling
by: Bulhakov, Vladyslav, et al.
Published: (2025)

Domain-Driven Design Representation of Monolith Candidate Decompositions Based on Entity Accesses
by: Levezinho, Miguel, et al.
Published: (2024)

Beyond the Prompt: Assessing Domain Knowledge Strategies for High-Dimensional LLM Optimization in Software Engineering
by: Srinivasan, Srinath, et al.
Published: (2026)

Automatic Bi-modal Question Title Generation for Stack Overflow with Prompt Learning
by: Yang, Shaoyu, et al.
Published: (2024)

LLM-based Generation of Semantically Diverse and Realistic Domain Model Instances
by: Coman, Andrei, et al.
Published: (2026)

Reporting LLM Prompting in Automated Software Engineering: A Guideline Based on Current Practices and Expectations
by: Korn, Alexander, et al.
Published: (2026)

Testing Question Answering Software with Context-Driven Question Generation
by: Liu, Shuang, et al.
Published: (2025)

TraceLLM: Leveraging Large Language Models with Prompt Engineering for Enhanced Requirements Traceability
by: Alturayeif, Nouf, et al.
Published: (2026)

DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection
by: Yang, Yanjing, et al.
Published: (2024)

The Energy Footprint of LLM-Based Environmental Analysis: LLMs and Domain Products
by: Bao, Alicia, et al.
Published: (2026)

From Bias To Improved Prompts: A Case Study of Bias Mitigation of Clone Detection Models
by: Chen, QiHong, et al.
Published: (2025)

A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain
by: Chen, Xiaohan, et al.
Published: (2025)

When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation
by: AKLI, Amal, et al.
Published: (2026)

GUIDE: LLM-Driven GUI Generation Decomposition for Automated Prototyping
by: Kolthoff, Kristian, et al.
Published: (2025)

PromptDebt: A Comprehensive Study of Technical Debt Across LLM Projects
by: Aljohani, Ahmed, et al.
Published: (2025)

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths
by: Chen, Huashan, et al.
Published: (2025)

To Copilot and Beyond: 22 AI Systems Developers Want Built
by: Choudhuri, Rudrajit, et al.
Published: (2026)

AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Papers
by: Lin, Zijie, et al.
Published: (2025)

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

Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework
by: Shen, Jianru, et al.
Published: (2026)

Evaluating Large Language Models for Code Translation: Effects of Prompt Language and Prompt Design
by: Aljagthami, Aamer, et al.
Published: (2025)

Enhancing the Accuracy and Comprehensibility in Architectural Tactics Detection via Small Model-Augmented Prompt Engineering
by: Cao, Lingli, et al.
Published: (2025)

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering
by: Chen, Jialiang, et al.
Published: (2025)

ChatUniTest: A Framework for LLM-Based Test Generation
by: Chen, Yinghao, et al.
Published: (2023)

Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts
by: Ouyang, Sheng, et al.
Published: (2025)

SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis
by: Zhao, Yuwei, et al.
Published: (2025)

Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study
by: Li, Bowen, et al.
Published: (2024)

The First Prompt Counts the Most! An Evaluation of Large Language Models on Iterative Example-Based Code Generation
by: Fu, Yingjie, et al.
Published: (2024)

PromptSet: A Programmer's Prompting Dataset
by: Pister, Kaiser, et al.
Published: (2024)

Prompt2DAG: A Modular Methodology for LLM-Based Data Enrichment Pipeline Generation
by: Alidu, Abubakari, et al.
Published: (2025)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation
by: Gu, Xiaodong, et al.
Published: (2023)

Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?
by: Wang, Guoqing, et al.
Published: (2024)

TraceRAG: A LLM-Based Framework for Explainable Android Malware Detection and Behavior Analysis
by: Zhang, Guangyu, et al.
Published: (2025)

Prompt Optimization for LLM Code Generation via Reinforcement Learning
by: Esfahani, Ali Mohammadi, et al.
Published: (2026)