VEIZAGA CAMPERO, A. M., ALFEREZ, M., TORRE, D., SABETZADEH, M., & BRIAND, L. (July 2021). On Systematically Building a Controlled Natural Language for Functional Requirements. Empirical Software Engineering, 26 (4), 79. doi:10.1007/s10664-021-09956-6 Peer reviewed |
TORRE, D., ALFEREZ, M., SOLTANA, G., SABETZADEH, M., & BRIAND, L. (2021). Modeling Data Protection and Privacy: Application and Experience with GDPR. Software and Systems Modeling. doi:10.1007/s10270-021-00935-5 Peer Reviewed verified by ORBi |
VEIZAGA CAMPERO, A. M., ALFEREZ, M., TORRE, D., SABETZADEH, M., BRIAND, L., & Pitskhelauri, E. (2020). Leveraging Natural-language Requirements for Deriving Better Acceptance Criteria from Models. In Proceedings of 23rd ACM / IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) (pp. 218-228). doi:10.1145/3365438.3410953 Peer reviewed |
TORRE, D., ABUALHAIJA, S., SABETZADEH, M., BRIAND, L., Baetens, K., Goes, P., & Forastier, S. (2020). An AI-assisted Approach for Checking the Completeness of Privacy Policies Against GDPR. In Proceedings of the 28th IEEE International Requirements Engineering Conference (RE’20), Zurich, Switzerland, August 31 - September 04, 2020 (pp. 136-146). IEEE. doi:10.1109/RE48521.2020.00025 Peer reviewed |
TORRE, D., Labiche, Y., Genero, M., Elaasar, M., & MENGHI, C. (2020). UML Consistency Rules:a Case Study with Open-Source UML Models. In Proceedings of the 8th International Conference on Formal Methods in Software Engineering (pp. 130-140). doi:10.1145/3372020.3391554 Peer reviewed |
TORRE, D., SOLTANA, G., SABETZADEH, M., BRIAND, L., Auffinger, Y., & Goes, P. (2019). Using Models to Enable Compliance Checking against the GDPR: An Experience Report. In Proceedings of the IEEE / ACM 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS 19) (pp. 1-11). ACM/IEEE. doi:10.1109/MODELS.2019.00-20 Peer reviewed |