![]() | SERGEEVA, A., NEGRI RIBALTA, C. S., & LENZINI, G. (26 April 2025). Identifying Ethical Challenges in XR Implementations in the Industrial Domain: A Case of Off-Highway Machinery [Paper presentation]. CHIXR/2025/08. Peer reviewed |
![]() | NEGRI RIBALTA, C., Noel, R., SERGEEVA, A., & LENZINI, G. (2025). Towards Evidence-Based Conceptual Modeling for International Data Protection Requirements. In Proceedings - 2025 IEEE 33rd International Requirements Engineering Conference Workshops, REW 2025. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/REW66121.2025.00036 Peer reviewed |
![]() | NEGRI RIBALTA, C. S., Geraud-Stewart, R., SERGEEVA, A., & LENZINI, G. (2024). A systematic literature review on the impact of AI models on the security of code generation. Frontiers in Big Data, 7, 1386720. doi:10.3389/fdata.2024.1386720 Peer Reviewed verified by ORBi |
![]() | NEGRI RIBALTA, C. S., LOMBARD-PLATET, M., & Salinesi, C. (2024). Understanding the GDPR from a requirements engineering perspective—a systematic mapping study on regulatory data protection requirements. Requirements Engineering. doi:10.1007/s00766-024-00423-4 Peer Reviewed verified by ORBi Dataset: https://zenodo.org/records/10040309 |
![]() | NEGRI RIBALTA, C. S., Noel, R., Pastor, O., & Salinesi, C. (2024). An Empirical Study on Socio-technical Modeling for Interdisciplinary Privacy Requirements. In M. Sellami & W. Gaaloul (Eds.), Cooperative Information Systems - 29th International Conference, CoopIS 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-46846-9_8 Peer reviewed |
![]() | Velasquez, R., NEGRI RIBALTA, C. S., Noel, R., & Pastor, O. (2023). Exploring Understandability in Socio-technical Models for Data Protection Analysis: Results from a Focus Group. Lecture Notes in Computer Science. doi:10.1007/978-3-031-47112-4_25 Peer reviewed Dataset: https://zenodo.org/record/7729512 |