:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Weiye, Tang, Wenyi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering
Accesso online:	https://arxiv.org/abs/2511.08127
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code
di: Li, Siyuan, et al.
Pubblicazione: (2024)

Optimizing Code Embeddings and ML Classifiers for Python Source Code Vulnerability Detection
di: Farasat, Talaya, et al.
Pubblicazione: (2025)

M2CVD: Enhancing Vulnerability Semantic through Multi-Model Collaboration for Code Vulnerability Detection
di: Wang, Ziliang, et al.
Pubblicazione: (2024)

LeakGuard: Detecting Memory Leaks Accurately and Scalably
di: Liang, Hongliang, et al.
Pubblicazione: (2025)

Machine Learning Techniques for Python Source Code Vulnerability Detection
di: Farasat, Talaya, et al.
Pubblicazione: (2024)

Exploring the Impact of Source Code Linearity on the Programmers Comprehension of API Code Examples
di: Alharbi, Seham, et al.
Pubblicazione: (2024)

Ensembling Large Language Models for Code Vulnerability Detection: An Empirical Evaluation
di: Sun, Zhihong, et al.
Pubblicazione: (2025)

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

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
di: Zhang, Kechi, et al.
Pubblicazione: (2024)

A Vulnerability Code Intent Summary Dataset
di: Huang, Yifan, et al.
Pubblicazione: (2025)

Inducing Vulnerable Code Generation in LLM Coding Assistants
di: Zeng, Binqi, et al.
Pubblicazione: (2025)

Harnessing the Power of LLMs in Source Code Vulnerability Detection
di: Mahyari, Andrew A
Pubblicazione: (2024)

Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection?
di: Zhao, Yu, et al.
Pubblicazione: (2024)

Causative Insights into Open Source Software Security using Large Language Code Embeddings and Semantic Vulnerability Graph
di: Islam, Nafis Tanveer, et al.
Pubblicazione: (2024)

From Code Smells to Best Practices: Tackling Resource Leaks in PyTorch, TensorFlow, and Keras
di: Abdallah, Bashar, et al.
Pubblicazione: (2025)

EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code
di: Ridoy, Shahriyar Zaman, et al.
Pubblicazione: (2024)

Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models
di: Sultana, Shaznin, et al.
Pubblicazione: (2024)

Line-level Semantic Structure Learning for Code Vulnerability Detection
di: Wang, Ziliang, et al.
Pubblicazione: (2024)

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis
di: Li, Yansong, et al.
Pubblicazione: (2025)

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

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing
di: Wang, Chaozheng, et al.
Pubblicazione: (2026)

LLMs in Code Vulnerability Analysis: A Proof of Concept
di: Sultana, Shaznin, et al.
Pubblicazione: (2026)

Probing Privacy Leaks in LLM-based Code Generation via Test Generation
di: Ge, Yifei, et al.
Pubblicazione: (2026)

Finding Privacy-relevant Source Code
di: Tang, Feiyang, et al.
Pubblicazione: (2024)

Exploring Multi-Lingual Bias of Large Code Models in Code Generation
di: Wang, Chaozheng, et al.
Pubblicazione: (2024)

Advanced Vulnerability Scanning for Open Source Software: Detection and Mitigation of Log4j Vulnerabilities
di: Wen, Victor, et al.
Pubblicazione: (2026)

Improving Automated Secure Code Reviews: A Synthetic Dataset for Code Vulnerability Flaws
di: Centellas-Claros, Leonardo, et al.
Pubblicazione: (2025)

Automated Repair of Resource Leaks in Android Applications
di: Bhatt, Bhargav Nagaraja, et al.
Pubblicazione: (2020)

LLM-Driven Adaptive Source-Sink Identification and False Positive Mitigation for Static Analysis
di: Lin, Shiyin
Pubblicazione: (2025)

Artificial Intelligence in Open Source Software Engineering: A Foundation for Sustainability
di: Karim, S M Rakib UI, et al.
Pubblicazione: (2026)

VFArchē: A Dual-Mode Framework for Locating Vulnerable Functions in Open-Source Software
di: Zhang, Lyuye, et al.
Pubblicazione: (2025)

Learning to Focus: Context Extraction for Efficient Code Vulnerability Detection with Language Models
di: Zheng, Xinran, et al.
Pubblicazione: (2025)

Vulnerability Identification by Harnessing Inter-connected Multi-Source Information
di: Chen, Liyou, et al.
Pubblicazione: (2026)

Multitask-based Evaluation of Open-Source LLM on Software Vulnerability
di: Yin, Xin, et al.
Pubblicazione: (2024)

Semantic Source Code Segmentation using Small and Large Language Models
di: Dahou, Abdelhalim, et al.
Pubblicazione: (2025)

Code Generation with Small Language Models: A Codeforces-Based Study
di: Souza, Débora, et al.
Pubblicazione: (2025)

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques
di: Hussain, Aftab, et al.
Pubblicazione: (2023)

Exploring the Jupyter Ecosystem: An Empirical Study of Bugs and Vulnerabilities
di: Jiang, Wenyuan, et al.
Pubblicazione: (2025)

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
di: Ashraf, Humza, et al.
Pubblicazione: (2025)

Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels
di: Chen, Ashley J., et al.
Pubblicazione: (2026)