Claudio Di Sipio

75 papers A* 2A 15B 2C 1Journal 42Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
How fair are we? From conceptualization to automated assessment of fairness definitions.
Softw. Syst. Model.
Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
2026 J jnl
Many Hands Make Light Work: An LLM-based Multi-Agent System for Detecting Malicious PyPI Packages.
CoRR
Muhammad Umar Zeshan, Motunrayo Ibiyo, Claudio Di Sipio, Phuong T. Nguyen, Davide Di Ruscio
2026 J jnl
Many hands make light work: An LLM-based multi-agent system for detecting malicious PyPI packages.
J. Syst. Softw.
Muhammad Umar Zeshan, Motunrayo Ibiyo, Claudio Di Sipio, Phuong T. Nguyen, Davide Di Ruscio
2025 — conf
Addressing Popularity Bias in Third-Party Library Recommendations Using LLMs.
SANER-C
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Vladyslav Bulhakov
2025 J jnl
Addressing Popularity Bias in Third-Party Library Recommendations Using LLMs.
CoRR
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Vladyslav Bulhakov
2025 — conf
Automated Recommender System Integration in Model-Based Ecosystems.
CAiSE (2)
Rickson Simioni Pereira, Claudio Di Sipio, Martina De Sanctis, Ludovico Iovino
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 A conf
Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy.
EASE
Motunrayo Osatohanmen Ibiyo, Thinakone Louangdy, Phuong T. Nguyen, Claudio Di Sipio, Davide Di Ruscio
2025 J jnl
Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy?
CoRR
Motunrayo Ibiyo, Thinakone Louangdy, Phuong T. Nguyen, Claudio Di Sipio, Davide Di Ruscio
2025 — conf
Generate with CodeXHug: A Dataset to Enhance Model Cards with Code Usage Patterns.
SEAA (3)
Stefano Palombo, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio
2025 B conf
Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling.
SEAA
Vladyslav Bulhakov, Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
2025 J jnl
Investigating the Role of LLMs Hyperparameter Tuning and Prompt Engineering to Support Domain Modeling.
CoRR
Vladyslav Bulhakov, Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
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 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
2025 A conf
Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity.
EASE
Lorenzo De Tomasi, Claudio Di Sipio, Antinisca Di Marco, Phuong T. Nguyen
2025 J jnl
Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity.
CoRR
Lorenzo De Tomasi, Claudio Di Sipio, Antinisca Di Marco, Phuong T. Nguyen
2025 J jnl
Towards early detection of algorithmic bias from dataset's bias symptoms: An empirical study.
Inf. Softw. Technol.
Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
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 A conf
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning.
ESEM
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta
2024 J jnl
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning.
CoRR
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta
2024 A conf
CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code.
MSR
Martin Weyssow, Claudio Di Sipio, Davide Di Ruscio, Houari A. Sahraoui
2024 A conf
FRINGE: context-aware FaiRness engineerING in complex software systEms.
ESEM
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
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 J jnl
How fair are we? From conceptualization to automated assessment of fairness definitions.
CoRR
Giordano d'Aloisio, Claudio Di Sipio, Antinisca Di Marco, Davide Di Ruscio
2024 J jnl
LEV4REC: A feature-based approach to engineering RSSEs.
J. Comput. Lang.
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
2024 B conf
On the Need for Configurable Travel Recommender Systems: A Systematic Mapping Study.
SEAA
Rickson Simioni Pereira, Claudio Di Sipio, Martina De Sanctis, Ludovico Iovino
2024 J jnl
On the Need for Configurable Travel Recommender Systems: A Systematic Mapping Study.
CoRR
Rickson Simioni Pereira, Claudio Di Sipio, Martina De Sanctis, Ludovico Iovino
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 — 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 J jnl
CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code.
CoRR
Martin Weyssow, Claudio Di Sipio, Davide Di Ruscio, Houari A. Sahraoui
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
Fitting missing API puzzles with machine translation techniques.
Expert Syst. Appl.
Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Massimiliano Di Penta
2023 J jnl
GitRanking: A ranking of GitHub topics for software classification using active sampling.
Softw. Pract. Exp.
Cezar Sas, Andrea Capiluppi, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio
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 J jnl
MORGAN: a modeling recommender system based on graph kernel.
Softw. Syst. Model.
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
2023 J jnl
MemoRec: a recommender system for assisting modelers in specifying metamodels.
Softw. Syst. Model.
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Alfonso Pierantonio
2023 — conf
ResyDuo: Combining Data Models and CF-Based Recommender Systems to Develop Arduino Projects.
MoDELS (Companion)
Juri Di Rocco, Claudio Di Sipio
2023 J jnl
ResyDuo: Combining data models and CF-based recommender systems to develop Arduino projects.
CoRR
Juri Di Rocco, Claudio Di Sipio
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 — conf
Automating the design of recommender systems: from foundational aspects to actual development.
MoDELS (Companion)
Claudio Di Sipio
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
Finding with NEMO: a recommender system to forecast the next modeling operations.
MoDELS
Juri Di Rocco, Claudio Di Sipio, Phuong T. Nguyen, Davide Di Ruscio, Alfonso Pierantonio
2022 J jnl
GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling.
CoRR
Cezar Sas, Andrea Capiluppi, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio
2022 J jnl
MemoRec: A Recommender System for Assisting Modelers in Specifying Metamodels.
CoRR
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Alfonso Pierantonio
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
2022 J jnl
Recommending API Function Calls and Code Snippets to Support Software Development.
IEEE Trans. Software Eng.
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
2021 A conf
A GNN-based Recommender System to Assist the Specification of Metamodels and Models.
MoDELS
Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Phuong Thanh Nguyen
2021 A conf
A Low-Code Tool Supporting the Development of Recommender Systems.
RecSys
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong Thanh Nguyen
2021 — conf
AURYGA: A Recommender System for Game Tagging.
IIR
Riccardo Rubei, Claudio Di Sipio
2021 A* conf
Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ.
ASE
Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Massimiliano Di Penta, Davide Di Ruscio
2021 A conf
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems.
EASE
Phuong Thanh Nguyen, Davide Di Ruscio, Juri Di Rocco, Claudio Di Sipio, Massimiliano Di Penta
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
On the Need for a Body of Knowledge on Recommender Systems (Short paper).
KaRS/ComplexRec@RecSys
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Claudio Pomo
2021 J jnl
Recommending API Function Calls and Code Snippets to Support Software Development.
CoRR
Phuong Thanh Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
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
Automated fruit recognition using EfficientNet and MixNet.
Comput. Electron. Agric.
Linh T. Duong, Phuong Thanh Nguyen, Claudio Di Sipio, Davide Di Ruscio
2020 — conf
Democratizing the development of recommender systems by means of low-code platforms.
MoDELS (Companion)
Claudio Di Sipio, Davide Di Ruscio, Phuong Thanh Nguyen
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