Publications on UML Miner
Publications on UML Miner
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Ardimento, P., Bernardi, M.L., Cimitile, M. et al. A conversational tool for AI-driven feedback for UML modeling. Softw Syst Model (2026). https://doi.org/10.1007/s10270-026-01373-x
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Michele Scalera: Back to the Model: UML Miner and the Power of Process Mining. ICSOFT 2025: 207-214
Ardimento, P., Bernardi, M.L., Cimitile, M., Scalera, M. (2025). A RAG-Enhanced AI Feedback for UML Education. In: Cristea, A.I., Walker, E., Lu, Y., Santos, O.C., Isotani, S. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED. AIED 2025. Communications in Computer and Information Science, vol 2591 . Springer, Cham. https://doi.org/10.1007/978-3-031-99264-3_2
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, and Michele Scalera. 2024. A RAG-based Feedback Tool to Augment UML Class Diagram Learning. In ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS Companion ’24), September 22–27, 2024, Linz, Austria. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3652620.3687784
Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, and Michele Scalera. 2024. Enhancing Software Modeling Learning with AI-Powered Scaffolding. In ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems (MODELS Companion ’24), September 22–27, 2024, Linz, Austria. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3652620.3687776
P. Ardimento, M. L. Bernardi and M. Cimitile, "Teaching UML using a RAG-based LLM," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10651492
P. Ardimento, L. Aversano, M. L. Bernardi, V. A. Carella, M. Cimitile and M. Scalera, "UML Miner: A Tool for Mining UML Diagrams," 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), Västerås, Sweden, 2023, pp. 30-34, doi: 10.1109/MODELS-C59198.2023.00014
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