  | CONRARDY, A. D., CAPOZUCCA, A., & CABOT, J. (May 2025). User Modeling in Model-Driven Engineering: A Systematic Literature Review. Journal of Object Technology, 24 (2), 2:1. doi:10.5381/jot.2025.24.2.a12  Peer Reviewed verified by ORBi |
 | AIT-MIMOUNE FONOLLA, A., Izquierdo, J., & CABOT, J. (18 January 2025). On the suitability of hugging face hub for empirical studies. Empirical Software Engineering, 30 (2). doi:10.1007/s10664-024-10608-8 Peer Reviewed verified by ORBi |
 | Gorostidi, J., AIT-MIMOUNE FONOLLA, A., CABOT, J., & Canovas Izquierdo, J. L. (2024). On the Creation of Representative Samples of Software Repositories. In Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2024. IEEE Computer Society. doi:10.1145/3674805.3690747 Peer reviewed |
  | SILVA MERCADO, J.* , MA, Q., CABOT, J., KELSEN, P., & Proper, H. A. (2024). Application of the Tree-of-Thoughts Framework to LLM-Enabled Domain Modeling. In W. Maass (Ed.), Conceptual Modeling - 43rd International Conference, ER 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-75872-0_6 Peer reviewed |
 | Morales, S., Clarisó, R., & CABOT, J. (2024). A DSL for Testing LLMs for Fairness and Bias. In Proceedings - MODELS 2024: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. Association for Computing Machinery, Inc. doi:10.1145/3640310.3674093 Peer reviewed |
 | Gomez-Vazquez, M., & CABOT, J. (2024). Exploring the Use of Software Product Lines for the Combination of Machine Learning Models. In M. CORDY (Ed.), SPLC 2024 - 28th ACM International Systems and Software Product Line Conference, Proceedings. Association for Computing Machinery. doi:10.1145/3646548.3676599 Peer reviewed |
 | Gomez-Vazquez, M., CABOT, J., & Clarisó, R. (2024). Automatic Generation of Conversational Interfaces for Tabular Data Analysis. In Proceedings of the 6th Conference on ACM Conversational User Interfaces, CUI 2024. Association for Computing Machinery, Inc. doi:10.1145/3640794.3665577 Peer reviewed |
 | Paige, R. F., & CABOT, J. (2024). What makes a good modeling research contribution? Software and Systems Modeling. doi:10.1007/s10270-024-01177-x Peer Reviewed verified by ORBi |
 | Fill, H.-G., CABOT, J., Maass, W., & van Sinderen, M. (24 January 2024). AI-Driven Software Engineering – The Role of Conceptual Modeling. Enterprise Modelling and Information Systems Architectures, 19, 1 - 11. doi:10.18417/emisa.19.1 Peer Reviewed verified by ORBi |
 | Ul Haq, F., Alfonso, I., Sulejmani, A., & CABOT, J. (2024). Extending a Low-Code Tool with Multi-cloud Deployment Capabilities. In A. Ampatzoglou (Ed.), Software Architecture. ECSA 2024 Tracks and Workshops, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-71246-3_5 Peer reviewed |
 | Alfonso, I., Conrardy, A., Sulejmani, A., Nirumand, A., Ul Haq, F., Gomez-Vazquez, M., Sottet, J.-S., & CABOT, J. (2024). Building BESSER: An Open-Source Low-Code Platform. In H. van der Aa (Ed.), Enterprise, Business-Process and Information Systems Modeling - 25th International Conference, BPMDS 2024, and 29th International Conference, EMMSAD 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-61007-3_16 Peer reviewed |
 | Clarisó, R., GONZALEZ PEREZ, C. A., & CABOT, J. (2019). Smart Bound Selection for the Verification of UML/OCL Class Diagrams. IEEE Transactions on Software Engineering. doi:10.1109/TSE.2017.2777830 Peer Reviewed verified by ORBi |
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