Federica Pepe

According to our database, Federica Pepe authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Developers and generative AI: A study of self-admitted usage in open source projects.

Rosalia Tufano, Federica Pepe, Fiorella Zampetti, Antonio Mastropaolo, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota

Empir. Softw. Eng., July, 2026

Datasets, bias, licenses, and terms of use: A large and longitudinal study on the documentation of hugging face machine learning models.

Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gerardo Canfora, Gabriele Bavota, Massimiliano Di Penta

Empir. Softw. Eng., July, 2026

2025

Replication package for the paper: "Datasets, Bias, Licenses, and Terms of Use: A Large and Longitudinal Study on the Documentation of Hugging Face Machine Learning Models".

Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gerardo Canfora, Gabriele Bavota, Massimiliano Di Penta

Dataset, December, 2025

Replication package for the paper: "Datasets, Bias, Licenses, and Terms of Use: A Large and Longitudinal Study on the Documentation of Hugging Face Machine Learning Models".

Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gerardo Canfora, Gabriele Bavota, Massimiliano Di Penta

Dataset, April, 2025

Datasets and scripts related to the paper: "*Can Generative AI Help us in Open Coding of Software Engineering Data?*".

Federica Pepe, Alberto Martin-Lopez, Rosalia Tufano, Fiorella Zampetti, Gabriele Bavota, Massimiliano Di Penta

Dataset, January, 2025

Replication Package of the Paper "How do Papers Make into Machine Learning Frameworks: A Preliminary Study on TensorFlow".

Federica Pepe, Claudia Farkas, Maleknaz Nayebi, Giuliano Antoniol, Massimiliano Di Penta

Dataset, January, 2025

ALOHA: A(IBoM) tooL generatOr for Hugging fAce.

Riccardo D'Avino, Sabato Nocera, Daniele Bifolco, Federica Pepe, Massimiliano Di Penta, Giuseppe Scanniello

Dataset, 2025

How Do Papers Make Into Machine Learning Frameworks: a Preliminary Study on Tensorflow.

Federica Pepe, Claudia Farkas, Maleknaz Nayebi, Giuliano Antoniol, Massimiliano Di Penta

Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

ALOHA: A(IBoM) tooL generatOr for Hugging fAce.

Riccardo D'Avino, Sabato Nocera, Daniele Bifolco, Federica Pepe, Massimiliano Di Penta, Giuseppe Scanniello

Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, 2025

2024

Replication Package of the paper: "A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems".

Federica Pepe, Fiorella Zampetti, Antonio Mastropaolo, Gabriele Bavota, Massimiliano Di Penta

Dataset, July, 2024

Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study.

Rosalia Tufano, Antonio Mastropaolo, Federica Pepe, Ozren Dabic, Massimiliano Di Penta, Gabriele Bavota

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study.

Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gabriele Bavota, Gerardo Canfora, Massimiliano Di Penta

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems.

Federica Pepe, Fiorella Zampetti, Antonio Mastropaolo, Gabriele Bavota, Massimiliano Di Penta

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

2023

Dataset of the paper: "How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study".

Federica Pepe, Vittoria Nardone, Antonio Mastropaolo, Gerardo Canfora, Gabriele Bavota, Massimiliano Di Penta

Dataset, October, 2023