Riccardo Rubei

According to our database, Riccardo Rubei authored at least 34 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., August, 2025

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

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei

Softw. Syst. Model., June, 2025

On the Energy Consumption of ATL Transformations.

Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio

Softw. Pract. Exp., 2025

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

Juri Di Rocco, Phuong T. Nguyen, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta

Inf. Softw. Technol., 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

LLM-Based Recommender Systems for Violation Resolutions in Continuous Architectural Conformance.

Riccardo Rubei, Amleto Di Salle, Alessio Bucaioni

Proceedings of the 22nd IEEE International Conference on Software Architecture, 2025

Prompt engineering and its implications on the energy consumption of Large Language Models.

Riccardo Rubei, Aicha Moussaid, Claudio Di Sipio, Davide Di Ruscio

Proceedings of the 9th IEEE/ACM International Workshop on Green and Sustainable Software, 2025

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

Proceedings of the IEEE Conference on Games, 2025

2024

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

Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta

J. Syst. Softw., 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

Proceedings of the IEEE International Systems Conference, 2024

PlayMyData: a curated dataset of multi-platform video games.

Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski, Riccardo Rubei

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 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

Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024

Towards Synthetic Trace Generation of Modeling Operations using In-Context Learning Approach.

Vittoriano Muttillo, Claudio Di Sipio, Riccardo Rubei, Luca Berardinelli, MohammadHadi Dehghani

Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 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

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

An Empirical Study on Code Coverage of Performance Testing.

Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini

Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023

Gitome: A curated dataset for GitHub README-related tasks.

Claudio Di Sipio, Juri Di Rocco, Riccardo Rubei, Phuong Thanh Nguyen, Davide Di Ruscio

Dataset, December, 2023

GItome: a curated dataset for README summarization.

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei

Dataset, December, 2023

HybridRec: A recommender system for tagging GitHub repositories.

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei

Appl. Intell., April, 2023

Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier.

Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta

CoRR, 2023

Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?

Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

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

Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

2022

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

Phuong T. Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio

Expert Syst. Appl., 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

Appl. Intell., 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

Proceedings of the IEEE International Conference on Software Analysis, 2022

Machine learning methods for model classification: a comparative study.

José Antonio Hernández López, Riccardo Rubei, Jesús Sánchez Cuadrado, Davide Di Ruscio

Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems, 2022

2021

Development of recommendation systems for software engineering: the CROSSMINER experience.

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei

Empir. Softw. Eng., 2021

A Lightweight Approach for the Automated Classification and Clustering of Metamodels.

Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen, Alfonso Pierantonio

Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, 2021

AURYGA: A Recommender System for Game Tagging.

Riccardo Rubei, Claudio Di Sipio

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Recommending Third-party Library Updates with LSTM Neural Networks.

Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio

Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

2020

An automated approach to assess the similarity of GitHub repositories.

Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Davide Di Ruscio

Softw. Qual. J., 2020

PostFinder: Mining Stack Overflow posts to support software developers.

Riccardo Rubei, Claudio Di Sipio, Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio

Inf. Softw. Technol., 2020

TopFilter: An Approach to Recommend Relevant GitHub Topics.

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei

Proceedings of the ESEM '20: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2020

A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories.

Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Phuong Thanh Nguyen

Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2018

CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects.

Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Davide Di Ruscio

Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications, 2018