Riccardo Rubei

Orcid: 0000-0001-9622-5949

According to our database1, Riccardo Rubei authored at least 28 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
DeepMig: A transformer-based approach to support coupled library and code migrations.
Inf. Softw. Technol., 2025

2024
GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT.
J. Syst. Softw., 2024

On the use of Large Language Models in Model-Driven Engineering.
CoRR, 2024

Towards Automating Model-Based Systems Engineering in Industry - An Experience Report.
Proceedings of the IEEE International Systems Conference, 2024

PlayMyData: a curated dataset of multi-platform video games.
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.
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.
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.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

An Empirical Study on Code Coverage of Performance Testing.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023
Gitome: A curated dataset for GitHub README-related tasks.
Dataset, December, 2023

GItome: a curated dataset for README summarization.
Dataset, December, 2023

HybridRec: A recommender system for tagging GitHub repositories.
Appl. Intell., April, 2023

Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier.
CoRR, 2023

Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques.
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.
Expert Syst. Appl., 2022

Providing upgrade plans for third-party libraries: a recommender system using migration graphs.
Appl. Intell., 2022

Endowing third-party libraries recommender systems with explicit user feedback mechanisms.
Proceedings of the IEEE International Conference on Software Analysis, 2022

Machine learning methods for model classification: a comparative study.
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.
Empir. Softw. Eng., 2021

A Lightweight Approach for the Automated Classification and Clustering of Metamodels.
Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, 2021

AURYGA: A Recommender System for Game Tagging.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

Recommending Third-party Library Updates with LSTM Neural Networks.
Proceedings of the 11th Italian Information Retrieval Workshop 2021, 2021

2020
An automated approach to assess the similarity of GitHub repositories.
Softw. Qual. J., 2020

PostFinder: Mining Stack Overflow posts to support software developers.
Inf. Softw. Technol., 2020

TopFilter: An Approach to Recommend Relevant GitHub Topics.
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.
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2018
CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects.
Proceedings of the 44th Euromicro Conference on Software Engineering and Advanced Applications, 2018


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