Claudio Di Sipio
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
7
Active years
2020–2025
Best venue rank
A
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CaiSE | Automated Recommender System Integration in Model-Based Ecosystems. | Rickson Simioni Pereira, Claudio Di Sipio, Martina De Sanctis, Ludovico Iovino |
| 2025 | EASE | Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy. | Motunrayo Osatohanmen Ibiyo, Thinakone Louangdy, Phuong T. Nguyen, Claudio Di Sipio, Davide Di Ruscio |
| 2025 | EASE | Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity. | Lorenzo De Tomasi, Claudio Di Sipio, Antinisca Di Marco, Phuong T. Nguyen |
| 2025 | SANER | Addressing Popularity Bias in Third-Party Library Recommendations Using LLMs. | Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Vladyslav Bulhakov |
| 2024 | EASE | 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 |
| 2024 | ESEM | 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 |
| 2024 | ESEM | 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 |
| 2024 | MODELS | 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 |
| 2024 | MSR | PlayMyData: a curated dataset of multi-platform video games. | Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski, Riccardo Rubei |
| 2024 | MSR | 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 |
| 2023 | MODELS | 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 |
| 2023 | MODELS | ResyDuo: Combining Data Models and CF-Based Recommender Systems to Develop Arduino Projects. | Juri Di Rocco, Claudio Di Sipio |
| 2023 | MSR | 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 |
| 2022 | MODELS | 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 |
| 2022 | MODELS | Automating the design of recommender systems: from foundational aspects to actual development. | Claudio Di Sipio |
| 2021 | EASE | 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 |
| 2021 | MODELS | 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 |
| 2021 | RecSys | 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 |
| 2021 | RecSys | A Low-Code Tool Supporting the Development of Recommender Systems. | Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong Thanh Nguyen |
| 2020 | EASE | A Multinomial Nave Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories. | Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Phuong Thanh Nguyen |
| 2020 | ESEM | TopFilter: An Approach to Recommend Relevant GitHub Topics. | Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei |
| 2020 | MODELS | Democratizing the development of recommender systems by means of low-code platforms. | Claudio Di Sipio, Davide Di Ruscio, Phuong Thanh Nguyen |