Claudio Di Sipio

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 39

Top Topics

Recommender Systems

Software Developers

Cold Start Problem

Active Sampling

Top Venues

MoDELS (Companion)

Publications

Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
LEV4REC: A feature-based approach to engineering RSSEs. J. Comput. Lang. 78 (2024)
Andrea D'Angelo, Claudio Di Sipio, Cristiano Politowski, Riccardo Rubei
PlayMyData: a curated dataset of multi-platform video games. CoRR (2024)
Diego Clerissi, Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Felicien Ihirwe, Leonardo Mariani, Daniela Micucci, Maria Teresa Rossi, Riccardo Rubei
Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques. CoRR (2023)
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Alfonso Pierantonio
MemoRec: a recommender system for assisting modelers in specifying metamodels. Softw. Syst. Model. 22 (1) (2023)
Cezar Sas, Andrea Capiluppi, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio
GitRanking: A ranking of GitHub topics for software classification using active sampling. Softw. Pract. Exp. 53 (10) (2023)
Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? CoRR (2023)
Juri Di Rocco, Claudio Di Sipio
ResyDuo: Combining data models and CF-based recommender systems to develop Arduino projects. CoRR (2023)
Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Massimiliano Di Penta
Fitting missing API puzzles with machine translation techniques. Expert Syst. Appl. 216 (2023)
Martin Weyssow, Claudio Di Sipio, Davide Di Ruscio, Houari A. Sahraoui
CodeLL: A Lifelong Learning Dataset to Support the Co-Evolution of Data and Language Models of Code. CoRR (2023)
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei
HybridRec: A recommender system for tagging GitHub repositories. Appl. Intell. 53 (8) (2023)
Juri Di Rocco, Claudio Di Sipio
ResyDuo: Combining Data Models and CF-Based Recommender Systems to Develop Arduino Projects. MoDELS (Companion) (2023)
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Massimiliano Di Penta
Is this Snippet Written by ChatGPT? An Empirical Study with a CodeBERT-Based Classifier. CoRR (2023)
Diego Clerissi, Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Felicien Ihirwe, Leonardo Mariani, Daniela Micucci, Maria Teresa Rossi, Riccardo Rubei
Supporting Early-Safety Analysis of IoT Systems by Exploiting Testing Techniques. MoDELS (Companion) (2023)
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
MORGAN: a modeling recommender system based on graph kernel. Softw. Syst. Model. 22 (5) (2023)
Phuong T. Nguyen, Riccardo Rubei, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We? MSR (2023)
Phuong T. Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio
DeepLib: Machine translation techniques to recommend upgrades for third-party libraries. Expert Syst. Appl. 202 (2022)
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Alfonso Pierantonio
MemoRec: A Recommender System for Assisting Modelers in Specifying Metamodels. CoRR (2022)
Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio, Juri Di Rocco, Phuong T. Nguyen
Providing Upgrade Plans for Third-party Libraries: A Recommender System using Migration Graphs. CoRR (2022)
Juri Di Rocco, Claudio Di Sipio, Phuong T. Nguyen, Davide Di Ruscio, Alfonso Pierantonio
Finding with NEMO: a recommender system to forecast the next modeling operations. MoDELS (2022)
Claudio Di Sipio
Automating the design of recommender systems: from foundational aspects to actual development. MoDELS (Companion) (2022)
Riccardo Rubei, Davide Di Ruscio, Claudio Di Sipio, Juri Di Rocco, Phuong T. Nguyen
Providing upgrade plans for third-party libraries: a recommender system using migration graphs. Appl. Intell. 52 (10) (2022)
Cezar Sas, Andrea Capiluppi, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio
GitRanking: A Ranking of GitHub Topics for Software Classification using Active Sampling. CoRR (2022)
Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
Recommending API Function Calls and Code Snippets to Support Software Development. IEEE Trans. Software Eng. 48 (7) (2022)
Riccardo Rubei, Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong T. Nguyen
Endowing third-party libraries recommender systems with explicit user feedback mechanisms. SANER (2022)
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong Thanh Nguyen
A Low-Code Tool Supporting the Development of Recommender Systems. RecSys (2021)
Phuong Thanh Nguyen, Davide Di Ruscio, Juri Di Rocco, Claudio Di Sipio, Massimiliano Di Penta
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems. EASE (2021)
Phuong T. Nguyen, Claudio Di Sipio, Juri Di Rocco, Massimiliano Di Penta, Davide Di Ruscio
Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffeeƒ. ASE (2021)
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei
Development of recommendation systems for software engineering: the CROSSMINER experience. CoRR (2021)
Riccardo Rubei, Claudio Di Sipio
AURYGA: A Recommender System for Game Tagging. IIR (2021)
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Claudio Pomo
On the Need for a Body of Knowledge on Recommender Systems (Short paper). KaRS/ComplexRec@RecSys (2021)
Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Phuong Thanh Nguyen
A GNN-based Recommender System to Assist the Specification of Metamodels and Models. MoDELS (2021)
Phuong Thanh Nguyen, Juri Di Rocco, Riccardo Rubei, Claudio Di Sipio, Davide Di Ruscio
Recommending Third-party Library Updates with LSTM Neural Networks. IIR (2021)
Phuong Thanh Nguyen, Juri Di Rocco, Claudio Di Sipio, Davide Di Ruscio, Massimiliano Di Penta
Recommending API Function Calls and Code Snippets to Support Software Development. CoRR (2021)
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei
Development of recommendation systems for software engineering: the CROSSMINER experience. Empir. Softw. Eng. 26 (4) (2021)
Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong Thanh Nguyen, Riccardo Rubei
TopFilter: An Approach to Recommend Relevant GitHub Topics. ESEM (2020)
Claudio Di Sipio, Davide Di Ruscio, Phuong Thanh Nguyen
Democratizing the development of recommender systems by means of low-code platforms. MoDELS (Companion) (2020)
Linh T. Duong, Phuong Thanh Nguyen, Claudio Di Sipio, Davide Di Ruscio
Automated fruit recognition using EfficientNet and MixNet. Comput. Electron. Agric. 171 (2020)
Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Phuong Thanh Nguyen
A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories. EASE (2020)
Riccardo Rubei, Claudio Di Sipio, Phuong Thanh Nguyen, Juri Di Rocco, Davide Di Ruscio
PostFinder: Mining Stack Overflow posts to support software developers. Inf. Softw. Technol. 127 (2020)