| PostFinder: Mining Stack Overflow posts to support software developers R Rubei, C Di Sipio, PT Nguyen, J Di Rocco, D Di Ruscio Information and Software Technology 127, 106367, 2020 | 57 | 2020 |
| A multinomial naïve bayesian (mnb) network to automatically recommend topics for github repositories C Di Sipio, R Rubei, D Di Ruscio, PT Nguyen Proceedings of the 24th International Conference on Evaluation and …, 2020 | 49 | 2020 |
| An automated approach to assess the similarity of GitHub repositories PT Nguyen, J Di Rocco, R Rubei, D Di Ruscio Software Quality Journal 28, 595-631, 2020 | 39 | 2020 |
| Development of recommendation systems for software engineering: the CROSSMINER experience J Di Rocco, D Di Ruscio, C Di Sipio, PT Nguyen, R Rubei Empirical Software Engineering 26 (4), 69, 2021 | 35 | 2021 |
| CrossSim: Exploiting mutual relationships to detect similar OSS projects PT Nguyen, J Di Rocco, R Rubei, D Di Ruscio 2018 44th Euromicro conference on software engineering and advanced …, 2018 | 33 | 2018 |
| Topfilter: an approach to recommend relevant github topics J Di Rocco, D Di Ruscio, C Di Sipio, P Nguyen, R Rubei Proceedings of the 14th ACM/IEEE International Symposium on Empirical …, 2020 | 24 | 2020 |
| Machine learning methods for model classification: a comparative study JAH López, R Rubei, JS Cuadrado, D Di Ruscio Proceedings of the 25th International Conference on Model Driven Engineering …, 2022 | 16 | 2022 |
| GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT PT Nguyen, J Di Rocco, C Di Sipio, R Rubei, D Di Ruscio, M Di Penta Journal of Systems and Software 214, 112059, 2024 | 14 | 2024 |
| HybridRec: A recommender system for tagging GitHub repositories J Di Rocco, D Di Ruscio, C Di Sipio, PT Nguyen, R Rubei Applied Intelligence 53 (8), 9708-9730, 2023 | 14 | 2023 |
| DeepLib: Machine translation techniques to recommend upgrades for third-party libraries PT Nguyen, J Di Rocco, R Rubei, C Di Sipio, D Di Ruscio Expert Systems with Applications 202, 117267, 2022 | 12 | 2022 |
| Is this snippet written by chatgpt? an empirical study with a codebert-based classifier PT Nguyen, J Di Rocco, C Di Sipio, R Rubei, D Di Ruscio, M Di Penta arXiv preprint arXiv:2307.09381, 2023 | 10 | 2023 |
| A lightweight approach for the automated classification and clustering of metamodels R Rubei, J Di Rocco, D Di Ruscio, PT Nguyen, A Pierantonio 2021 ACM/IEEE International Conference on Model Driven Engineering Languages …, 2021 | 9 | 2021 |
| Providing upgrade plans for third-party libraries: a recommender system using migration graphs R Rubei, D Di Ruscio, C Di Sipio, J Di Rocco, PT Nguyen Applied Intelligence 52 (10), 12000-12015, 2022 | 8 | 2022 |
| Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset C Di Sipio, R Rubei, J Di Rocco, D Di Ruscio, PT Nguyen Proceedings of the 28th International Conference on Evaluation and …, 2024 | 6 | 2024 |
| Towards automating model-based systems engineering in industry-an experience report J Cederbladh, L Berardinelli, H Bruneliere, A Cicchetti, MH Dehghani, ... 2024 IEEE International Systems Conference (SysCon), 1-8, 2024 | 6 | 2024 |
| Dealing with popularity bias in recommender systems for third-party libraries: How far are we? PT Nguyen, R Rubei, J Di Rocco, C Di Sipio, D Di Ruscio, M Di Penta 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 6 | 2023 |
| Endowing third-party libraries recommender systems with explicit user feedback mechanisms R Rubei, C Di Sipio, J Di Rocco, D Di Ruscio, PT Nguyen 2022 IEEE International Conference on Software Analysis, Evolution and …, 2022 | 5 | 2022 |
| On the use of large language models in model-driven engineering J Di Rocco, D Di Ruscio, C Di Sipio, PT Nguyen, R Rubei Software and Systems Modeling, 1-26, 2025 | 4 | 2025 |
| An Empirical Study on Code Coverage of Performance Testing M Imran, V Cortellessa, D Di Ruscio, R Rubei, L Traini Proceedings of the 28th International Conference on Evaluation and …, 2024 | 4 | 2024 |
| Recommending Third-party Library Updates with LSTM Neural Networks. PT Nguyen, J Di Rocco, R Rubei, C Di Sipio, D Di Ruscio IIR, 2021 | 3 | 2021 |
Davide Di RuscioProfessor, University of L'Aquila (Italy)Email verificata su di.univaq.it
