CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects. - Phuong Thanh Nguyen 001; Juri Di Rocco; Riccardo Rubei; Davide Di Ruscio (SEAA, 2018)

A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories. - Claudio Di Sipio; Riccardo Rubei; Davide Di Ruscio; Phuong Thanh Nguyen 001 (EASE, 2020)

TopFilter: An Approach to Recommend Relevant GitHub Topics. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong Thanh Nguyen 001; Riccardo Rubei (ESEM, 2020)

PostFinder: Mining Stack Overflow posts to support software developers. - Riccardo Rubei; Claudio Di Sipio; Phuong Thanh Nguyen 001; Juri Di Rocco; Davide Di Ruscio (Inf. Softw. Technol., 2020)

An automated approach to assess the similarity of GitHub repositories. - Phuong Thanh Nguyen 001; Juri Di Rocco; Riccardo Rubei; Davide Di Ruscio (Softw. Qual. J., 2020)

Recommending Third-party Library Updates with LSTM Neural Networks. - Phuong Thanh Nguyen 001; Juri Di Rocco; Riccardo Rubei; Claudio Di Sipio; Davide Di Ruscio (IIR, 2021)

AURYGA: A Recommender System for Game Tagging. - Riccardo Rubei; Claudio Di Sipio (IIR, 2021)

A Lightweight Approach for the Automated Classification and Clustering of Metamodels. - Riccardo Rubei; Juri Di Rocco; Davide Di Ruscio; Phuong T. Nguyen 001; Alfonso Pierantonio (MoDELS (Companion), 2021)

Development of recommendation systems for software engineering: the CROSSMINER experience. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong Thanh Nguyen 001; Riccardo Rubei (Empir. Softw. Eng., 2021)

Machine learning methods for model classification: a comparative study. - José Antonio Hernández López; Riccardo Rubei; Jesús Sánchez Cuadrado; Davide Di Ruscio (MoDELS, 2022)

Endowing third-party libraries recommender systems with explicit user feedback mechanisms. - Riccardo Rubei; Claudio Di Sipio; Juri Di Rocco; Davide Di Ruscio; Phuong T. Nguyen 001 (SANER, 2022)

Providing upgrade plans for third-party libraries: a recommender system using migration graphs. - Riccardo Rubei; Davide Di Ruscio; Claudio Di Sipio; Juri Di Rocco; Phuong T. Nguyen 001 (Appl. Intell., 2022)

DeepLib: Machine translation techniques to recommend upgrades for third-party libraries. - Phuong T. Nguyen 001; Juri Di Rocco; Riccardo Rubei; Claudio Di Sipio; Davide Di Ruscio (Expert Syst. Appl., 2022)

Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques. - Diego Clerissi; Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Felicien Ihirwe; Leonardo Mariani; Daniela Micucci; Maria Teresa Rossi; Riccardo Rubei (MoDELS (Companion), 2023)

Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? - Phuong T. Nguyen 001; Riccardo Rubei; Juri Di Rocco; Claudio Di Sipio; Davide Di Ruscio; Massimiliano Di Penta (MSR, 2023)

Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier. - Phuong T. Nguyen 001; Juri Di Rocco; Claudio Di Sipio; Riccardo Rubei; Davide Di Ruscio; Massimiliano Di Penta (CoRR, 2023)

HybridRec: A recommender system for tagging GitHub repositories. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong T. Nguyen 001; Riccardo Rubei (Appl. Intell., 2023)

GItome: a curated dataset for README summarization. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong Thanh Nguyen 001; Riccardo Rubei (Zenodo, 2023)

Gitome: A curated dataset for GitHub README-related tasks. - Claudio Di Sipio; Juri Di Rocco; Riccardo Rubei; Phuong Thanh Nguyen 001; Davide Di Ruscio (Zenodo, 2023)

An Empirical Study on Code Coverage of Performance Testing. - Muhammad Imran 026; Vittorio Cortellessa; Davide Di Ruscio; Riccardo Rubei; Luca Traini (EASE, 2024)

Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset. - Claudio Di Sipio; Riccardo Rubei; Juri Di Rocco; Davide Di Ruscio; Phuong T. Nguyen 001 (EASE, 2024)

Towards Synthetic Trace Generation of Modeling Operations using In-Context Learning Approach. - Vittoriano Muttillo; Claudio Di Sipio; Riccardo Rubei; Luca Berardinelli; MohammadHadi Dehghani (ASE, 2024)

On the use of LLMs to support the development of domain-specific modeling languages. - Claudio Di Sipio; Riccardo Rubei; Juri Di Rocco; Davide Di Ruscio; Ludovico Iovino (MoDELS (Companion), 2024)

PlayMyData: a curated dataset of multi-platform video games. - Andrea D'Angelo; Claudio Di Sipio; Cristiano Politowski; Riccardo Rubei (MSR, 2024)

Towards Automating Model-Based Systems Engineering in Industry - An Experience Report. - Johan Cederbladh; Luca Berardinelli; Hugo Bruneliere; Antonio Cicchetti; MohammadHadi Dehghani; Claudio Di Sipio; James William Pontes Miranda; Abbas Rahimi; Riccardo Rubei; Jagadish Suryadevara (SysCon, 2024)

GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT. - Phuong T. Nguyen 001; Juri Di Rocco; Claudio Di Sipio; Riccardo Rubei; Davide Di Ruscio; Massimiliano Di Penta (J. Syst. Softw., 2024)

On the Need for Reproducibility Guidelines for Open-Source Games: A itch.io Case Study. - Claudio Di Sipio; Andrea D'Angelo; Riccardo Rubei; Cristiano Politowski (CoG, 2025)

Prompt engineering and its implications on the energy consumption of Large Language Models. - Riccardo Rubei; Aicha Moussaid; Claudio Di Sipio; Davide Di Ruscio (GREENS@ICSE, 2025)

LLM-Based Recommender Systems for Violation Resolutions in Continuous Architectural Conformance. - Riccardo Rubei; Amleto Di Salle; Alessio Bucaioni (ICSA Companion, 2025)

Leveraging synthetic trace generation of modeling operations for intelligent modeling assistants using large language models. - Vittoriano Muttillo; Claudio Di Sipio; Riccardo Rubei; Luca Berardinelli (Inf. Softw. Technol., 2025)

DeepMig: A transformer-based approach to support coupled library and code migrations. - Juri Di Rocco; Phuong T. Nguyen 001; Claudio Di Sipio; Riccardo Rubei; Davide Di Ruscio; Massimiliano Di Penta (Inf. Softw. Technol., 2025)

On the Energy Consumption of ATL Transformations. - Riccardo Rubei; Juri Di Rocco; Davide Di Ruscio (Softw. Pract. Exp., 2025)

On the use of large language models in model-driven engineering. - Juri Di Rocco; Davide Di Ruscio; Claudio Di Sipio; Phuong T. Nguyen 001; Riccardo Rubei (Softw. Syst. Model., 2025)

ModelXGlue: a benchmarking framework for ML tools in MDE. - José Antonio Hernández López; Jesús Sánchez Cuadrado; Riccardo Rubei; Davide Di Ruscio (Softw. Syst. Model., 2025)