Claudio Di Sipio

According to our database, Claudio Di Sipio authored at least 45 papers between 2020 and 2025.

Collaborative distances:

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

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

2024

LEV4REC: A feature-based approach to engineering RSSEs.

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

J. Comput. Lang., March, 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

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

CoRR, 2024

How fair are we? From conceptualization to automated assessment of fairness definitions.

Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio

CoRR, 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

CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code.

Martin Weyssow, Claudio Di Sipio, Davide Di Ruscio, Houari A. Sahraoui

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

On the Need for Configurable Travel Recommender Systems: A Systematic Mapping Study.

Rickson Simioni Pereira, Claudio Di Sipio, Martina De Sanctis, Ludovico Iovino

Proceedings of the 50th Euromicro Conference on Software Engineering and Advanced Applications, 2024

FRINGE: context-aware FaiRness engineerING in complex software systEms.

Fabio Palomba, Andrea Di Sorbo, Davide Di Ruscio, Filomena Ferrucci, Gemma Catolino, Giammaria Giordano, Dario Di Dario, Gianmario Voria, Viviana Pentangelo, Maria Tortorella, Arnaldo Sgueglia, Claudio Di Sipio, Giordano d'Aloisio, Antinisca Di Marco

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning.

Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta

Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 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

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

GitRanking: A ranking of GitHub topics for software classification using active sampling.

Cezar Sas, Andrea Capiluppi, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio

Softw. Pract. Exp., October, 2023

MORGAN: a modeling recommender system based on graph kernel.

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

Softw. Syst. Model., October, 2023

Fitting missing API puzzles with machine translation techniques.

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

Expert Syst. Appl., April, 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

MemoRec: a recommender system for assisting modelers in specifying metamodels.

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Alfonso Pierantonio

Softw. Syst. Model., February, 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

ResyDuo: Combining Data Models and CF-Based Recommender Systems to Develop Arduino Projects.

Juri Di Rocco, Claudio Di Sipio

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

Recommending API Function Calls and Code Snippets to Support Software Development.

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

IEEE Trans. Software Eng., 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

Automating the design of recommender systems: from foundational aspects to actual development.

Claudio Di Sipio

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

Finding with NEMO: a recommender system to forecast the next modeling operations.

Juri Di Rocco, Claudio Di Sipio, Phuong T. Nguyen, Davide Di Ruscio, Alfonso Pierantonio

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

2021

crossminer/FOCUS: TSE Focus Replication package.

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

Dataset, January, 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 Low-Code Tool Supporting the Development of Recommender Systems.

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

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

On the Need for a Body of Knowledge on Recommender Systems (Short paper).

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Claudio Pomo

Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

A GNN-based Recommender System to Assist the Specification of Metamodels and Models.

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

Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems, 2021

Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ.

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

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 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

Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems.

Phuong Thanh Nguyen, Davide Di Ruscio, Juri Di Rocco, Claudio Di Sipio, Massimiliano Di Penta

Proceedings of the EASE 2021: Evaluation and Assessment in Software Engineering, 2021

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

Automated fruit recognition using EfficientNet and MixNet.

Linh T. Duong, Phuong Thanh Nguyen, Claudio Di Sipio, Davide Di Ruscio

Comput. Electron. Agric., 2020

Democratizing the development of recommender systems by means of low-code platforms.

Claudio Di Sipio, Davide Di Ruscio, Phuong Thanh Nguyen

Proceedings of the MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems, 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