Cover Image

Assessing the Impact of Requirement Ambiguity on LLM-based Function-Level Code Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Di, Xie, Xinou, Yang, Xiuwen, Hu, Ming, Huang, Yihao, Zhang, Yueling, Miao, Weikai, Su, Ting, Wan, Chengcheng, Pu, Geguang
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Study of In-Context-Learning-Based Text-to-SQL Errors
by: Shen, Jiawei, et al.
Published: (2025)

Improving Random Testing via LLM-powered UI Tarpit Escaping for Mobile Apps
by: Xu, Mengqian, et al.
Published: (2026)

Automated detection of atomicity violations in large-scale systems
by: He, Hang, et al.
Published: (2025)

Experimenting a New Programming Practice with LLMs
by: Zhang, Simiao, et al.
Published: (2024)

From Natural Language to Executable Properties for Property-based Testing of Mobile Apps
by: Xiong, Yiheng, et al.
Published: (2026)

CodeScore-R: An Automated Robustness Metric for Assessing the FunctionalCorrectness of Code Synthesis
by: Yang, Guang, et al.
Published: (2024)

LLM-enabled Applications Require System-Level Threat Monitoring
by: Zhang, Yedi, et al.
Published: (2026)

Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent Vision
by: Lu, Xu, et al.
Published: (2025)

Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation
by: Li, Jia, et al.
Published: (2026)

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

Beyond Code Generation: Assessing Code LLM Maturity with Postconditions
by: He, Fusen, et al.
Published: (2024)

MRG-Bench: Evaluating and Exploring the Requirements of Context for Repository-Level Code Generation
by: Li, Haiyang
Published: (2025)

SWE-Refactor: A Repository-Level Benchmark for Real-World LLM-Based Code Refactoring
by: Xu, Yisen, et al.
Published: (2026)

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

BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering
by: Jiang, Jiayi, et al.
Published: (2024)

From Requirements to Code: Understanding Developer Practices in LLM-Assisted Software Engineering
by: Ullrich, Jonathan, et al.
Published: (2025)

CleanVul: Automatic Function-Level Vulnerability Detection in Code Commits Using LLM Heuristics
by: Li, Yikun, et al.
Published: (2024)

Beyond Functional Correctness: Exploring Hallucinations in LLM-Generated Code
by: Liu, Fang, et al.
Published: (2024)

REPOFUSE: Repository-Level Code Completion with Fused Dual Context
by: Liang, Ming, et al.
Published: (2024)

RobuNFR: Evaluating the Robustness of Large Language Models on Non-Functional Requirements Aware Code Generation
by: Lin, Feng, et al.
Published: (2025)

Requirements are All You Need: From Requirements to Code with LLMs
by: Wei, Bingyang
Published: (2024)

Generating High-Level Test Cases from Requirements using LLM: An Industry Study
by: Masuda, Satoshi, et al.
Published: (2025)

Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers
by: Shi, Yuling, et al.
Published: (2024)

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding
by: Shi, Yuling, et al.
Published: (2026)

Toward Functional and Non-Functional Evaluation of Application-Level Code Generation
by: Pan, Ruwei, et al.
Published: (2026)

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

LLM-Based Static Verification of Code Against Natural-Language Requirements: An Industrial Experience Report
by: Zhou, Zhi Quan, et al.
Published: (2026)

From Context to Intent: Reasoning-Guided Function-Level Code Completion
by: Li, Yanzhou, et al.
Published: (2025)

PEACE: Towards Efficient Project-Level Efficiency Optimization via Hybrid Code Editing
by: Ren, Xiaoxue, et al.
Published: (2025)

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context
by: Qin, Yihao, et al.
Published: (2024)

Assessing Correctness in LLM-Based Code Generation via Uncertainty Estimation
by: Sharma, Arindam, et al.
Published: (2025)

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models
by: Liu, Changshu, et al.
Published: (2025)

Ambiguity Resolution with Human Feedback for Code Writing Tasks
by: Nandan, Aditey, et al.
Published: (2025)

How Quantization Impacts Privacy Risk on LLMs for Code?
by: Haque, Md Nazmul, et al.
Published: (2025)

Debug Like a Human: Scaling LLM-based Fault Localization to Processor Design via Block-Level Instruction-Oriented Slicing
by: Liu, Zizhen, et al.
Published: (2026)

The Impact of Prompt Programming on Function-Level Code Generation
by: Khojah, Ranim, et al.
Published: (2024)

Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning
by: Yin, Shouyu, et al.
Published: (2026)

From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging
by: Shi, Yuling, et al.
Published: (2024)

From Exploration to Specification: LLM-Based Property Generation for Mobile App Testing
by: Xiong, Yiheng, et al.
Published: (2026)

Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation
by: Sarker, Laboni, et al.
Published: (2024)