Saved in:
| Main Authors: | Jin, Dongming, Jin, Zhi, Li, Nianyu, Yang, Kai, Li, Linyu, Guan, Suijing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.03946 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
A First Look at Package-to-Group Mechanism: An Empirical Study of the Linux Distributions
by: Jin, Dongming, et al.
Published: (2024)
by: Jin, Dongming, et al.
Published: (2024)
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
A System Model Generation Benchmark from Natural Language Requirements
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
Automated Concern Extraction from Textual Requirements of Cyber-Physical Systems: A Multi-solution Study
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
ReqElicitGym: An Evaluation Environment for Interview Competence in Conversational Requirements Elicitation
by: Jin, Dongming, et al.
Published: (2026)
by: Jin, Dongming, et al.
Published: (2026)
From Chat to Interview: Agentic Requirements Elicitation with an Experience Ontology
by: Jin, Dongming, et al.
Published: (2026)
by: Jin, Dongming, et al.
Published: (2026)
UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
MARE: Multi-Agents Collaboration Framework for Requirements Engineering
by: Jin, Dongming, et al.
Published: (2024)
by: Jin, Dongming, et al.
Published: (2024)
Exploring the Potential of Large Language Models in Self-adaptive Systems
by: Li, Jialong, et al.
Published: (2024)
by: Li, Jialong, et al.
Published: (2024)
iReDev: A Knowledge-Driven Multi-Agent Framework for Intelligent Requirements Development
by: Jin, Dongming, et al.
Published: (2025)
by: Jin, Dongming, et al.
Published: (2025)
Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap
by: Li, Jialong, et al.
Published: (2025)
by: Li, Jialong, et al.
Published: (2025)
STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2023)
by: Zhang, Yuwei, et al.
Published: (2023)
Multi-role Consensus through LLMs Discussions for Vulnerability Detection
by: Mao, Zhenyu, et al.
Published: (2024)
by: Mao, Zhenyu, et al.
Published: (2024)
Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations
by: Li, Jia, et al.
Published: (2024)
by: Li, Jia, et al.
Published: (2024)
An Evaluation of Requirements Modeling for Cyber-Physical Systems via LLMs
by: Jin, Dongming, et al.
Published: (2024)
by: Jin, Dongming, et al.
Published: (2024)
IntentCoding: Amplifying User Intent in Code Generation
by: Fang, Zheng, et al.
Published: (2026)
by: Fang, Zheng, et al.
Published: (2026)
Knowledge-Guided Multi-Agent Framework for Automated Requirements Development: A Vision
by: Huang, Jiangping, et al.
Published: (2025)
by: Huang, Jiangping, et al.
Published: (2025)
SGCR: A Specification-Grounded Framework for Trustworthy LLM Code Review
by: Wang, Kai, et al.
Published: (2025)
by: Wang, Kai, et al.
Published: (2025)
SAGE: Semantic-Aware Gray-Box Game Regression Testing with Large Language Models
by: Cai, Jinyu, et al.
Published: (2025)
by: Cai, Jinyu, et al.
Published: (2025)
VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2025)
by: Wang, Ziliang, et al.
Published: (2025)
Automatic Bottom-Up Taxonomy Construction: A Software Application Domain Study
by: Sas, Cezar, et al.
Published: (2024)
by: Sas, Cezar, et al.
Published: (2024)
Generating Project-Specific Test Cases with Requirement Validation Intention
by: Qi, Binhang, et al.
Published: (2025)
by: Qi, Binhang, et al.
Published: (2025)
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
by: Zhang, Kechi, et al.
Published: (2024)
by: Zhang, Kechi, et al.
Published: (2024)
Knowledge-Guided Multi-Agent Framework for Application-Level Software Code Generation
by: Xiong, Qian, et al.
Published: (2025)
by: Xiong, Qian, et al.
Published: (2025)
Line-level Semantic Structure Learning for Code Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2024)
by: Wang, Ziliang, et al.
Published: (2024)
AdapTrack: Constrained Decoding without Distorting LLM's Output Intent
by: Li, Yongmin, et al.
Published: (2025)
by: Li, Yongmin, et al.
Published: (2025)
PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing
by: Zhang, Yuwei, et al.
Published: (2025)
by: Zhang, Yuwei, et al.
Published: (2025)
M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection
by: Wang, Ziliang, et al.
Published: (2024)
by: Wang, Ziliang, et al.
Published: (2024)
User-Driven Adaptation: Tailoring Autonomous Driving Systems with Dynamic Preferences
by: Zhang, Mingyue, et al.
Published: (2024)
by: Zhang, Mingyue, et al.
Published: (2024)
Reusable MLOps: Reusable Deployment, Reusable Infrastructure and Hot-Swappable Machine Learning models and services
by: Panchal, D, et al.
Published: (2024)
by: Panchal, D, et al.
Published: (2024)
Requirements Quality Research Artifacts: Recovery, Analysis, and Management Guideline
by: Frattini, Julian, et al.
Published: (2024)
by: Frattini, Julian, et al.
Published: (2024)
DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts
by: Rao, Nikitha, et al.
Published: (2024)
by: Rao, Nikitha, et al.
Published: (2024)
Reusable Test Suites for Reinforcement Learning
by: Betten, Jørn Eirik, et al.
Published: (2025)
by: Betten, Jørn Eirik, et al.
Published: (2025)
$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models
by: Liu, Quanming, et al.
Published: (2025)
by: Liu, Quanming, et al.
Published: (2025)
BootstrapAgent: Distilling Repository Setup into Reusable Agent Knowledge
by: Fu, Sihan, et al.
Published: (2026)
by: Fu, Sihan, et al.
Published: (2026)
Automated Static Warning Identification via Path-based Semantic Representation
by: Zhang, Yuwei, et al.
Published: (2023)
by: Zhang, Yuwei, et al.
Published: (2023)
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position
by: Zhang, Kechi, et al.
Published: (2024)
by: Zhang, Kechi, et al.
Published: (2024)
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing
by: Wang, Zejun, et al.
Published: (2024)
by: Wang, Zejun, et al.
Published: (2024)
Similar Items
-
A Needle in a Haystack: Intent-driven Reusable Artifacts Recommendation with LLMs
by: Jin, Dongming, et al.
Published: (2025) -
A First Look at Package-to-Group Mechanism: An Empirical Study of the Linux Distributions
by: Jin, Dongming, et al.
Published: (2024) -
A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
by: Jin, Dongming, et al.
Published: (2025) -
A System Model Generation Benchmark from Natural Language Requirements
by: Jin, Dongming, et al.
Published: (2025) -
Automated Concern Extraction from Textual Requirements of Cyber-Physical Systems: A Multi-solution Study
by: Jin, Dongming, et al.
Published: (2025)