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Riccardo Rubei

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

13

Venues

6

Active years

2020–2026

Best venue rank

A

Where they publish

Papers

13 indexed papers, newest first.

YearVenueTitleAuthors
2026SANERAn Empirical Investigation on the Use of Large Language Models for Performance Bug Detection.Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini
2025ICSALLM-Based Recommender Systems for Violation Resolutions in Continuous Architectural Conformance.Riccardo Rubei, Amleto Di Salle, Alessio Bucaioni
2025MODELSCoupling LLMs and Model-Driven Engineering to Support Synthetic Generation of BPMN Artifacts.Vittoriano Muttillo, Romina Eramo, Riccardo Rubei, Luca Berardinelli
2024EASEAn Empirical Study on Code Coverage of Performance Testing.Muhammad Imran, Vittorio Cortellessa, Davide Di Ruscio, Riccardo Rubei, Luca Traini
2024EASEAutomated 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
2024MODELSOn 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
2024MSRPlayMyData: a curated dataset of multi-platform video games.Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski, Riccardo Rubei
2023MODELSSupporting 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
2023MSRDealing 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
2022MODELSMachine learning methods for model classification: a comparative study.Jos Antonio Hernndez Lpez, Riccardo Rubei, Jess Snchez Cuadrado, Davide Di Ruscio
2021MODELSA Lightweight Approach for the Automated Classification and Clustering of Metamodels.Riccardo Rubei, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen, Alfonso Pierantonio
2020EASEA Multinomial Nave Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories.Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Phuong Thanh Nguyen
2020ESEMTopFilter: An Approach to Recommend Relevant GitHub Topics.Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei