Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Duong, Le-Cong, Thanh, Le, Triet Huynh Minh, Babar, M. Ali, Huynh, Quyet-Thang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models
by: Nguyen, Duong, et al.
Published: (2025)
by: Nguyen, Duong, et al.
Published: (2025)
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
by: Nguyen, Anh The, et al.
Published: (2024)
by: Nguyen, Anh The, et al.
Published: (2024)
Software Vulnerability Management in the Era of Artificial Intelligence: An Industry Perspective
by: Kholoosi, M. Mehdi, et al.
Published: (2025)
by: Kholoosi, M. Mehdi, et al.
Published: (2025)
Securing the AI Supply Chain: What Can We Learn From Developer-Reported Security Issues and Solutions of AI Projects?
by: Nguyen, The Anh, et al.
Published: (2025)
by: Nguyen, The Anh, et al.
Published: (2025)
LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations
by: Ye, Ziyang, et al.
Published: (2025)
by: Ye, Ziyang, et al.
Published: (2025)
Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration
by: Arani, Ali Kazemi, et al.
Published: (2024)
by: Arani, Ali Kazemi, et al.
Published: (2024)
Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming
by: Lang, Nguyet-Anh H., et al.
Published: (2026)
by: Lang, Nguyet-Anh H., et al.
Published: (2026)
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
by: Le, Triet H. M., et al.
Published: (2024)
by: Le, Triet H. M., et al.
Published: (2024)
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
by: Le, Triet H. M., et al.
Published: (2024)
by: Le, Triet H. M., et al.
Published: (2024)
LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
by: Dang, Yen-Trang, et al.
Published: (2024)
by: Dang, Yen-Trang, et al.
Published: (2024)
Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?
by: Le, Triet H. M., et al.
Published: (2024)
by: Le, Triet H. M., et al.
Published: (2024)
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
by: Le, Triet H. M., et al.
Published: (2024)
by: Le, Triet H. M., et al.
Published: (2024)
MVD: A Multi-Lingual Software Vulnerability Detection Framework
by: Zhang, Boyu, et al.
Published: (2024)
by: Zhang, Boyu, et al.
Published: (2024)
Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing
by: Le-Cong, Thanh, et al.
Published: (2024)
by: Le-Cong, Thanh, et al.
Published: (2024)
AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology
by: Nguyen, Minh Huynh, et al.
Published: (2024)
by: Nguyen, Minh Huynh, et al.
Published: (2024)
RBCTest: Leveraging LLMs to Mine and Verify Oracles of API Response Bodies for RESTful API Testing
by: Huynh, Hieu, et al.
Published: (2025)
by: Huynh, Hieu, et al.
Published: (2025)
Verifying DNN-based Semantic Communication Against Generative Adversarial Noise
by: Le, Thanh, et al.
Published: (2026)
by: Le, Thanh, et al.
Published: (2026)
Towards Test Generation from Task Description for Mobile Testing with Multi-modal Reasoning
by: Huynh, Hieu, et al.
Published: (2025)
by: Huynh, Hieu, et al.
Published: (2025)
Privacy-Preserving Real-Time Vietnamese-English Translation on iOS using Edge AI
by: Le, Cong
Published: (2025)
by: Le, Cong
Published: (2025)
From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs
by: Ho, Anh, et al.
Published: (2025)
by: Ho, Anh, et al.
Published: (2025)
On the Robustness Evaluation of 3D Obstacle Detection Against Specifications in Autonomous Driving
by: Pham, Tri Minh Triet, et al.
Published: (2024)
by: Pham, Tri Minh Triet, et al.
Published: (2024)
Can LLMs Reason About Program Semantics? A Comprehensive Evaluation of LLMs on Formal Specification Inference
by: Le-Cong, Thanh, et al.
Published: (2025)
by: Le-Cong, Thanh, et al.
Published: (2025)
CodeWiki: Evaluating AI's Ability to Generate Holistic Documentation for Large-Scale Codebases
by: Hoang, Anh Nguyen, et al.
Published: (2025)
by: Hoang, Anh Nguyen, et al.
Published: (2025)
Memory-Efficient Large Language Models for Program Repair with Semantic-Guided Patch Generation
by: Le-Cong, Thanh, et al.
Published: (2024)
by: Le-Cong, Thanh, et al.
Published: (2024)
Segment-Based Test Case Prioritization: A Multi-objective Approach
by: Huynh, Hieu, et al.
Published: (2024)
by: Huynh, Hieu, et al.
Published: (2024)
Large Language Models for Code Generation: A Comprehensive Survey of Challenges, Techniques, Evaluation, and Applications
by: Huynh, Nam, et al.
Published: (2025)
by: Huynh, Nam, et al.
Published: (2025)
Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals
by: Le-Anh, Minh, et al.
Published: (2026)
by: Le-Anh, Minh, et al.
Published: (2026)
Early-Stage Prediction of Review Effort in AI-Generated Pull Requests
by: Minh, Dao Sy Duy, et al.
Published: (2026)
by: Minh, Dao Sy Duy, et al.
Published: (2026)
FGGM: Formal Grey-box Gradient Method for Attacking DRL-based MU-MIMO Scheduler
by: Le, Thanh, et al.
Published: (2025)
by: Le, Thanh, et al.
Published: (2025)
PatchGuru: Patch Oracle Inference from Natural Language Artifacts with Large Language Models
by: Le-Cong, Thanh, et al.
Published: (2026)
by: Le-Cong, Thanh, et al.
Published: (2026)
Functional Overlap Reranking for Neural Code Generation
by: To, Hung Quoc, et al.
Published: (2023)
by: To, Hung Quoc, et al.
Published: (2023)
Signature in Code Backdoor Detection, how far are we?
by: Le, Quoc Hung, et al.
Published: (2025)
by: Le, Quoc Hung, et al.
Published: (2025)
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection
by: Zhou, Xin, et al.
Published: (2024)
by: Zhou, Xin, et al.
Published: (2024)
Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
by: Pham, Tri Minh Triet, et al.
Published: (2024)
by: Pham, Tri Minh Triet, et al.
Published: (2024)
IRJIT: A Simple, Online, Information Retrieval Approach for Just-In-Time Software Defect Prediction
by: Sahar, Hareem, et al.
Published: (2022)
by: Sahar, Hareem, et al.
Published: (2022)
Semantic Evolution over Populations for LLM-Guided Automated Program Repair
by: Le, Cuong Chi, et al.
Published: (2026)
by: Le, Cuong Chi, et al.
Published: (2026)
Documentation-Guided Agentic Codebase Migration from C to Rust
by: Le-Anh, Minh, et al.
Published: (2026)
by: Le-Anh, Minh, et al.
Published: (2026)
Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions
by: Torun, Utku Boran, et al.
Published: (2026)
by: Torun, Utku Boran, et al.
Published: (2026)
An Empirically Grounded Reference Architecture for Software Supply Chain Metadata Management
by: Tran, Nguyen Khoi, et al.
Published: (2023)
by: Tran, Nguyen Khoi, et al.
Published: (2023)
Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?
by: Nguyen, Huu Hung, et al.
Published: (2025)
by: Nguyen, Huu Hung, et al.
Published: (2025)
Similar Items
-
VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models
by: Nguyen, Duong, et al.
Published: (2025) -
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
by: Nguyen, Anh The, et al.
Published: (2024) -
Software Vulnerability Management in the Era of Artificial Intelligence: An Industry Perspective
by: Kholoosi, M. Mehdi, et al.
Published: (2025) -
Securing the AI Supply Chain: What Can We Learn From Developer-Reported Security Issues and Solutions of AI Projects?
by: Nguyen, The Anh, et al.
Published: (2025) -
LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations
by: Ye, Ziyang, et al.
Published: (2025)