Phuong Nguyen

Assistant Professor

University of L'Aquila

Italy

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Dr. Phuong Nguyen is an Assistant Professor at Università degli Studi dell'Aquila, Italy. His research interests encompass the fields of software engineering, artificial intelligence, and machine learning, as evidenced by his recent publications on automated code detection, neural networks, and user privacy in software development. He is actively engaged in exploring innovative methods, including large language models, to enhance software analysis and development practices.

Articles (19)

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2025

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2023

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2023

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2023

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2023

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2022

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2022

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2021

Collaborators (2)

Massimiliano Di Penta

University of Sannio

ITALY

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Davide Di Ruscio

University of L'Aquila

ITALY

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Phuong Nguyen

Research Interests

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Articles (19)

DeepMig: A transformer-based approach to support coupled library and code migrations

Binary and multi-class classification of Self-Admitted Technical Debt: How far can we go?

EnseSmells : Deep ensemble and programming language models for automated code smells detection

On the use of large language models in model-driven engineering

Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy

GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT

Programming with ChatGPT: How far can we go?

SGD method for entropy error function with smoothing $$l_0$$ regularization for neural networks

Exploring user privacy awareness on GitHub: an empirical study

Fusion of edge detection and graph neural networks to classifying electrocardiogram signals

MORGAN: a modeling recommender system based on graph kernel

Fitting missing API puzzles with machine translation techniques

HybridRec: A recommender system for tagging GitHub repositories

Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients

MemoRec: a recommender system for assisting modelers in specifying metamodels

Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning

DeepLib: Machine translation techniques to recommend upgrades for third-party libraries

Providing upgrade plans for third-party libraries: a recommender system using migration graphs

Correction to: Evaluation of a machine learning classifier for metamodels

Collaborators (2)

Massimiliano Di Penta

Davide Di Ruscio

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