:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Mengdi, Liu, Yuming, Wang, He, Xu, Zifeng, Zhang, Yuqing
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering
Accesso online:	https://arxiv.org/abs/2603.15004
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An Empirical Study of LLM-Based Code Clone Detection
di: Zhu, Wenqing, et al.
Pubblicazione: (2025)

HyClone: Bridging LLM Understanding and Dynamic Execution for Semantic Code Clone Detection
di: Liang, Yunhao, et al.
Pubblicazione: (2025)

Towards Human-interpretable Explanation in Code Clone Detection using LLM-based Post Hoc Explainer
di: Racharak, Teeradaj, et al.
Pubblicazione: (2025)

Detecting Essence Code Clones via Information Theoretic Analysis
di: Zhao, Lida, et al.
Pubblicazione: (2025)

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion
di: Wang, Xingliang, et al.
Pubblicazione: (2025)

SkillClone: Multi-Modal Clone Detection and Clone Propagation Analysis in the Agent Skill Ecosystem
di: Zhu, Jiaying, et al.
Pubblicazione: (2026)

VisualCoder: Guiding Large Language Models in Code Execution with Fine-grained Multimodal Chain-of-Thought Reasoning
di: Le, Cuong Chi, et al.
Pubblicazione: (2024)

Evaluating Small-Scale Code Models for Code Clone Detection
di: Martinez-Gil, Jorge
Pubblicazione: (2025)

Focus on What Matters: Fisher-Guided Adaptive Multimodal Fusion for Vulnerability Detection
di: Bian, Yun, et al.
Pubblicazione: (2026)

Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study
di: Chen, Huashan, et al.
Pubblicazione: (2025)

GraphCodeAgent: Dual Graph-Guided LLM Agent for Retrieval-Augmented Repo-Level Code Generation
di: Li, Jia, et al.
Pubblicazione: (2025)

Detecting LLM-generated Code with Subtle Modification by Adversarial Training
di: Yin, Xin, et al.
Pubblicazione: (2025)

Unveiling Code Clones in the Eclipse IIoT Software Ecosystem
di: Li, Zengyang, et al.
Pubblicazione: (2026)

Code Clone Detection via an AlphaFold-Inspired Framework
di: Jia, Changguo, et al.
Pubblicazione: (2025)

FGIT: Fault-Guided Fine-Tuning for Code Generation
di: Fan, Lishui, et al.
Pubblicazione: (2025)

TGMM: Combining Parse Tree with GPU for Scalable Multilingual and Multi-Granularity Code Clone Detection
di: Ye, Yuhang, et al.
Pubblicazione: (2024)

Assessing the Code Clone Detection Capability of Large Language Models
di: Zhang, Zixian, et al.
Pubblicazione: (2024)

Quantum-Guided Test Case Minimization for LLM-Based Code Generation
di: Zhang, Huixiang, et al.
Pubblicazione: (2025)

One Size Does Not Fit All: Investigating Efficacy of Perplexity in Detecting LLM-Generated Code
di: Xu, Jinwei, et al.
Pubblicazione: (2024)

CC2Vec: Combining Typed Tokens with Contrastive Learning for Effective Code Clone Detection
di: Dou, Shihan, et al.
Pubblicazione: (2024)

Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing
di: Wang, Wenhan, et al.
Pubblicazione: (2025)

MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
di: Ning, Kaiwen, et al.
Pubblicazione: (2024)

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
di: Zhao, Yicong, et al.
Pubblicazione: (2025)

Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates
di: Nadim, Md, et al.
Pubblicazione: (2022)

MAGNET: A Multi-Graph Attentional Network for Code Clone Detection
di: Zhang, Zixian, et al.
Pubblicazione: (2025)

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion
di: Gao, Chaoyang, et al.
Pubblicazione: (2025)

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

VulCoCo: A Simple Yet Effective Method for Detecting Vulnerable Code Clones
di: Bui, Tan, et al.
Pubblicazione: (2025)

I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection
di: Liu, Zhenguang, et al.
Pubblicazione: (2025)

Environment-in-the-Loop: Rethinking Code Migration with LLM-based Agents
di: Li, Xiang, et al.
Pubblicazione: (2026)

FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge
di: Zhao, Xinlong, et al.
Pubblicazione: (2025)

LLM-Guided Issue Generation from Uncovered Code Segments
di: Pressato, Diany, et al.
Pubblicazione: (2026)

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length
di: Cheng, Junhang, et al.
Pubblicazione: (2025)

Development and Benchmarking of Multilingual Code Clone Detector
di: Zhu, Wenqing, et al.
Pubblicazione: (2024)

Code Clone Refactoring in C# with Lambda Expressions
di: Kawamoto, Takuto, et al.
Pubblicazione: (2025)

Automated Repair of TEE Partitioning Issues via DSL-Guided and LLM-Assisted Patching
di: Ma, Chengyan, et al.
Pubblicazione: (2026)

RPHunter: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis
di: Wu, Hao, et al.
Pubblicazione: (2025)

CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search
di: Tikhonov, Anton, et al.
Pubblicazione: (2023)

Source Code Clone Detection Using Unsupervised Similarity Measures
di: Martinez-Gil, Jorge
Pubblicazione: (2024)

Distinguishing LLM-generated from Human-written Code by Contrastive Learning
di: Xu, Xiaodan, et al.
Pubblicazione: (2024)