9 citations · 18 across the 18 of their papers we have counts for
7 papers · 1 filter
Model-Agnostic Correctness Assessment for LLM-Generated Code via Dynamic Internal Representation Selection
Thanh Trong Vu, Tuan-Dung Bui, Thu-Trang Nguyen +2
Large Language Models (LLMs) have demonstrated impressive capabilities in code generation and are increasingly integrated into the software development process. However, ensuring t…
Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
Tuan-Dung Bui, Thanh Trong Vu, Thu-Trang Nguyen +2
Ensuring the correctness of code generated by Large Language Models (LLMs) presents a significant challenge in AI-driven software development. Existing approaches predominantly rel…
Reinforcement Learning-Based REST API Testing with Multi-Coverage
Tien-Quang Nguyen, Nghia-Hieu Cong, Ngoc-Minh Quach +2
REST (Representational State Transfer) APIs have become integral for data communication and exchange due to their simplicity, scalability, and compatibility with web standards. How…
RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
Tuan-Dung Bui, Duc-Thieu Luu-Van, Thanh-Phat Nguyen +3
Code completion is essential in software development, helping developers by predicting code snippets based on context. Among completion tasks, Method Body Completion (MBC) is parti…
Using Multiple Code Representations to Prioritize Static Analysis Warnings
Thanh Trong Vu, Hieu Dinh Vo
In order to ensure the quality of software and prevent attacks from hackers on critical systems, static analysis tools are frequently utilized to detect vulnerabilities in the earl…
A Variability Fault Localization Approach for Software Product Lines
Thu-Trang Nguyen, Kien-Tuan Ngo, Son Nguyen +1
Software fault localization is one of the most expensive, tedious, and time-consuming activities in program debugging. This activity becomes even much more challenging in Software…