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NEGRI RIBALTA Claudia

University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS) > Cognitive Science and Assessment

ORCID
0009-0003-8480-5788
Main Referenced Co-authors
LENZINI, Gabriele  (3)
Noel, Rene (3)
SERGEEVA, Anastasia  (3)
Pastor, Oscar (2)
Salinesi, Camille (2)
Main Referenced Keywords
requirements engineering (3); security (3); Compliance (2); conceptual modeling (2); data protection (2);
Main Referenced Unit & Research Centers
NCER-FT - FinTech National Centre of Excellence in Research (2)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > IRiSC - Socio-Technical Cybersecurity (1)
Main Referenced Disciplines
Computer science (6)

Publications (total 6)

The most downloaded
217 downloads
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 https://hdl.handle.net/10993/62198

The most cited

21 citations (Scopus®)

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 https://hdl.handle.net/10993/62198

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

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

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