Riccardo Rubei

45 papers A* 1A 8B 1C 1Journal 23Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Coupling LLMs and Model-Driven Engineering to Support Synthetic Generation of BPMN Artifacts.
MODELS-C
Vittoriano Muttillo, Romina Eramo, Riccardo Rubei, Luca Berardinelli
2025 J jnl
DeepMig: A transformer-based approach to support coupled library and code migrations.
Inf. Softw. Technol.
Juri Di Rocco, Phuong T. Nguyen, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta
2025 J jnl
Is code coverage of performance tests related to source code features? An empirical study on open-source Java systems.
Empir. Softw. Eng.
Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini
2025 — ed.
Joint Proceedings of the STAF 2025 Workshops: OCL, OOPSLE, LLM4SE, ICMM, AgileMDE, AI4DPS, and TTC co-located with the International Conference on Software Technologies: Applications and Foundations (STAF 2025), Koblenz, Germany, June 10-13, 2025.
STAF Workshops
Amir Shayan Ahmadian, Ralf Lämmel, Sobhan Yassipour Tehrani, Iván Alfonso, Shekoufeh Kolahdouz Rahimi, Arne Lange, Thomas Weber, Colin Atkinson, Uwe Aßmann, Antonio Cicchetti, José Antonio Hernández López, Riccardo Rubei, Robert Clarisó, Lars Hamann, Mikhail Barash, Vadim Zaytsev, Andreas Schmitz, Friedrich Steimann, Maria Wimmer, Sandra Greiner, Georg Hinkel, Théo Le Calvar
2025 — conf
LLM-Based Recommender Systems for Violation Resolutions in Continuous Architectural Conformance.
ICSA Companion
Riccardo Rubei, Amleto Di Salle, Alessio Bucaioni
2025 J jnl
Leveraging synthetic trace generation of modeling operations for intelligent modeling assistants using large language models.
Inf. Softw. Technol.
Vittoriano Muttillo, Claudio Di Sipio, Riccardo Rubei, Luca Berardinelli
2025 J jnl
ModelXGlue: a benchmarking framework for ML tools in MDE.
Softw. Syst. Model.
José Antonio Hernández López, Jesús Sánchez Cuadrado, Riccardo Rubei, Davide Di Ruscio
2025 J jnl
On the Energy Consumption of ATL Transformations.
Softw. Pract. Exp.
Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio
2025 C conf
On the Need for Reproducibility Guidelines for Open-Source Games: A itch.io Case Study.
CoG
Claudio Di Sipio, Andrea D'Angelo, Riccardo Rubei, Cristiano Politowski
2025 J jnl
On the use of large language models in model-driven engineering.
Softw. Syst. Model.
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei
2025 — conf
Prompt engineering and its implications on the energy consumption of Large Language Models.
GREENS@ICSE
Riccardo Rubei, Aicha Moussaid, Claudio Di Sipio, Davide Di Ruscio
2025 J jnl
Prompt engineering and its implications on the energy consumption of Large Language Models.
CoRR
Riccardo Rubei, Aicha Moussaid, Claudio Di Sipio, Davide Di Ruscio
2024 A conf
An Empirical Study on Code Coverage of Performance Testing.
EASE
Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini
2024 J jnl
Automated categorization of pre-trained models for software engineering: A case study with a Hugging Face dataset.
CoRR
Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
2024 A conf
Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset.
EASE
Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
2024 J jnl
GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT.
J. Syst. Softw.
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta
2024 — conf
On the use of LLMs to support the development of domain-specific modeling languages.
MoDELS (Companion)
Claudio Di Sipio, Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Ludovico Iovino
2024 J jnl
On the use of Large Language Models in Model-Driven Engineering.
CoRR
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei
2024 A conf
PlayMyData: a curated dataset of multi-platform video games.
MSR
Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski, Riccardo Rubei
2024 J jnl
PlayMyData: a curated dataset of multi-platform video games.
CoRR
Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski, Riccardo Rubei
2024 — ed.
Proceedings of the STAF 2024 Workshops: AgileMDE 2024, LLM4MDE 2024, and MeSS 2024 co-located with the International Conference on Software Technologies: Applications and Foundations (STAF 2024) Enschede, The Netherlands, July 8-11, 2024.
STAF Workshops
Hessa Alfraihi, Francesco Basciani, Georgiana Caltais, Nicolas Ferry, José Antonio Hernández López, Ludovico Iovino, Robbert Jongeling, Stefan Klikovits, Shekoufeh Kolahdouz Rahimi, Riccardo Rubei, Sobhan Yassipour Tehrani, Javier Troya, Mairieli Wessel, Vadim Zaytsev
2024 — conf
Towards Automating Model-Based Systems Engineering in Industry - An Experience Report.
SysCon
Johan Cederbladh, Luca Berardinelli, Hugo Bruneliere, Antonio Cicchetti, MohammadHadi Dehghani, Claudio Di Sipio, James William Pontes Miranda, Abbas Rahimi, Riccardo Rubei, Jagadish Suryadevara
2024 A* conf
Towards Synthetic Trace Generation of Modeling Operations using In-Context Learning Approach.
ASE
Vittoriano Muttillo, Claudio Di Sipio, Riccardo Rubei, Luca Berardinelli, MohammadHadi Dehghani
2024 J jnl
Towards Synthetic Trace Generation of Modeling Operations using In-Context Learning Approach.
CoRR
Vittoriano Muttillo, Claudio Di Sipio, Riccardo Rubei, Luca Berardinelli, MohammadHadi Dehghani
2023 A conf
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
MSR
Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
2023 J jnl
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
CoRR
Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
2023 J jnl
HybridRec: A recommender system for tagging GitHub repositories.
Appl. Intell.
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei
2023 J jnl
Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier.
CoRR
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta
2023 — conf
Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques.
MoDELS (Companion)
Diego Clerissi, Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Felicien Ihirwe, Leonardo Mariani, Daniela Micucci, Maria Teresa Rossi, Riccardo Rubei
2023 J jnl
Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques.
CoRR
Diego Clerissi, Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Felicien Ihirwe, Leonardo Mariani, Daniela Micucci, Maria Teresa Rossi, Riccardo Rubei
2022 J jnl
DeepLib: Machine translation techniques to recommend upgrades for third-party libraries.
Expert Syst. Appl.
Phuong T. Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio
2022 A conf
Endowing third-party libraries recommender systems with explicit user feedback mechanisms.
SANER
Riccardo Rubei, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
2022 A conf
Machine learning methods for model classification: a comparative study.
MoDELS
José Antonio Hernández López, Riccardo Rubei, Jesús Sánchez Cuadrado, Davide Di Ruscio
2022 J jnl
Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs.
CoRR
Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio, Juri Di Rocco, Phuong T. Nguyen
2022 J jnl
Providing upgrade plans for third-party libraries: a recommender system using migration graphs.
Appl. Intell.
Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio, Juri Di Rocco, Phuong T. Nguyen
2021 — conf
A Lightweight Approach for the Automated Classification and Clustering of Metamodels.
MoDELS (Companion)
Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen, Alfonso Pierantonio
2021 — conf
AURYGA: A Recommender System for Game Tagging.
IIR
Riccardo Rubei, Claudio Di Sipio
2021 J jnl
Development of recommendation systems for software engineering: the CROSSMINER experience.
CoRR
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei
2021 J jnl
Development of recommendation systems for software engineering: the CROSSMINER experience.
Empir. Softw. Eng.
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei
2021 — conf
Recommending Third-party Library Updates with LSTM Neural Networks.
IIR
Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio
2020 A conf
A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories.
EASE
Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Phuong Thanh Nguyen
2020 J jnl
An automated approach to assess the similarity of GitHub repositories.
Softw. Qual. J.
Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Davide Di Ruscio
2020 J jnl
PostFinder: Mining Stack Overflow posts to support software developers.
Inf. Softw. Technol.
Riccardo Rubei, Claudio Di Sipio, Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio
2020 A conf
TopFilter: An Approach to Recommend Relevant GitHub Topics.
ESEM
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei
2018 B conf
CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects.
SEAA
Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Davide Di Ruscio