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![]() | Amaral Cejas, O., ABUALHAIJA, S., SANNIER, N., CECI, M., & BIANCULLI, D. (2025). GDPR Compliance in Privacy Policies of Mobile Apps: An Overview of the State-of-Practice. In Proceedings of the 33rd IEEE International Requirements Engineering 2025 conference (pp. 320-331). IEEE. doi:10.1109/RE63999.2025.00038 Peer reviewed |
![]() | ALECCI, M., SANNIER, N., CECI, M., ABUALHAIJA, S., SAMHI, J., BIANCULLI, D., BISSYANDE, T. F. D. A., & KLEIN, J. (2025). Toward LLM-Driven GDPR Compliance Checking for Android Apps. In Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering (FSE Companion '25) (pp. 606-610). ACM - Association for Computing Machinery. doi:10.1145/3696630.3728508 Peer reviewed Dataset: https://zenodo.org/records/15168296 |
Etezadi, R., ABUALHAIJA, S., Arora, C., & Briand, L. (2025). Classification or Prompting: A Case Study on Legal Requirements Traceability. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/66854. doi:10.48550/arXiv.2502.04916 |
Etezadi, R., ABUALHAIJA, S., Arora, C., & Briand, L. (2025). LLM-Driven Cost-Effective Requirements Change Impact Analysis. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/66855. |
![]() | ABUALHAIJA, S., CECI, M., SANNIER, N., BIANCULLI, D., LANNIER, S., SICLARI, M., VOORDECKERS, O., & TOSZA, S. (2025). LLM-assisted Extraction of Regulatory Requirements: A Case Study on the GDPR. In Proceedings of the 33rd IEEE International Requirements Engineering Conference (RE'25). IEEE. doi:10.1109/RE63999.2025.00023 Peer reviewed |
![]() | CECI, M., SANNIER, N., ABUALHAIJA, S., SHIN, D., BIANCULLI, D., & HALLING, M. (2024). Toward Automated Compliance Checking of Fund Activities Using Runtime Verification Techniques. In Proceedings of the 1st Workshop on Software Engineering Challenges in Financial Firms (FinanSE 2024), co-located with ICSE 2024 (pp. 19-20). ACM. doi:10.1145/3643665.3648045 Peer reviewed |
![]() | ABUALHAIJA, S., CECI, M., SANNIER, N., BIANCULLI, D., ZETZSCHE, D. A., & BODELLINI, M. (2024). Toward Automated Change Impact Analysis of Financial Regulations. In Proceedings of the 1st Workshop on Software Engineering Challenges in Financial Firms (FinanSE 2024), co-located with ICSE 2024 (pp. 31-32). Lisbon, Portugal: ACM. doi:10.1145/3643665.3648046 Peer reviewed |
![]() | Ilyas Azeem, M., & ABUALHAIJA, S. (14 June 2024). A Multi-solution Study on GDPR AI-enabled Completeness Checking of DPAs. Empirical Software Engineering, 29 (96). doi:10.1007/s10664-024-10491-3 Peer Reviewed verified by ORBi |
![]() | ABUALHAIJA, S., BaŞAk Aydemir, F., Dalpiaz, F., Dell'Anna, D., Ferrari, A., Franch, X., & Fucci, D. (2024). Replication and Verifiability in Requirements Engineering: the NLP for RE Case. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3658669 Peer Reviewed verified by ORBi |
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![]() | ABUALHAIJA, S., CECI, M., SANNIER, N., BIANCULLI, D., Briand, L., ZETZSCHE, D. A., & BODELLINI, M. (2024). AI-enabled Regulatory Change Analysis of Legal Requirements. In Proceedings of the 32nd IEEE International Requirements Engineering Conference (RE'24) (pp. 5-17). IEEE. doi:10.1109/RE59067.2024.00012 Peer reviewed |
![]() | SANNIER, N., CECI, M., ABUALHAIJA, S., BIANCULLI, D., & HALLING, M. (2024). A Model Toward Formalizing and Monitoring Compliance of Investment Funds Activities. In 2024 IEEE 32nd International Requirements Engineering Conference Workshops (REW) (pp. 272-280). IEEE. doi:10.1109/REW61692.2024.00042 Peer reviewed |
![]() | AMARAL CEJAS, O., SANNIER, N., ABUALHAIJA, S., CECI, M., & BIANCULLI, D. (2024). GDPR-Relevant Privacy Concerns in Mobile Apps Research: A Systematic Literature Review. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/62753. |
![]() | Ferrari, A., ABUALHAIJA, S., & Arora, C. (2024). Model Generation with LLMs: From Requirements to UML Sequence Diagrams. In Proceedings - 32nd IEEE International Requirements Engineering Conference Workshops, REW 2024. IEEE. doi:10.1109/REW61692.2024.00044 Peer reviewed |
![]() | AMARAL CEJAS, O., ABUALHAIJA, S., & BRIAND, L. (2023). ML-based Compliance Verification of Data Processing Agreements against GDPR. In Proceedings of the 31st IEEE International Requirements Engineering Conference (RE'23), Hannover, Germany, September 4-8, 2023. IEEE. doi:10.1109/RE57278.2023.00015 Peer reviewed |
![]() | AMARAL CEJAS, O., AZEEM, M. I., ABUALHAIJA, S., & BRIAND, L. (2023). NLP-based Automated Compliance Checking of Data Processing Agreements against GDPR. IEEE Transactions on Software Engineering. doi:10.1109/TSE.2023.3288901 Peer Reviewed verified by ORBi |
![]() | EZZINI, S., ABUALHAIJA, S., ARORA, C., & SABETZADEH, M. (2023). AI-based Question Answering Assistance for Analyzing Natural-language Requirements. In Proceedings of the 45th International Conference on Software Engineering (ICSE'23), Melbourne 14-20 May 2023. IEEE Press. doi:10.1109/ICSE48619.2023.00113 Peer reviewed |
ABUALHAIJA, S., CECI, M., & BRIAND, L. (2023). Legal Requirements Analysis. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57951. |
![]() | EZZINI, S., ABUALHAIJA, S., Arora, C., & Sabetzadeh, M. (2022). Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study. In Proceedings of the 44th International Conference on Software Engineering (ICSE'22), Pittsburgh, PA, USA 22-27 May 2022. Association for Computing Machinery. doi:10.1145/3510003.3510157 Peer reviewed Dataset: 10.6084/m9.figshare.29304650 |
![]() | ABUALHAIJA, S., Arora, C., & BRIAND, L. (2022). COREQQA: A COmpliance REQuirements Understanding using Question Answering Tool. In ACM SIGSOFT CONFERENCE ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (pp. 2022). Association for Computing Machinery. doi:10.1145/3540250.3558926 Peer reviewed |
![]() | EZZINI, S., ABUALHAIJA, S., Arora, C., & Sabetzadeh, M. (2022). TAPHSIR: Towards AnaPHoric Ambiguity Detection and ReSolution In Requirements. In ACM SIGSOFT CONFERENCE ON THE FOUNDATIONS OF SOFTWARE ENGINEERING. Association for Computing Machinery. doi:10.1145/3540250.3558928 Peer reviewed |
![]() | EZZINI, S., ABUALHAIJA, S., & Sabetzadeh, M. (2022). WikiDoMiner: Wikipedia Domain-Specific Miner. In ACM SIGSOFT CONFERENCE ON THE FOUNDATIONS OF SOFTWARE ENGINEERING. Association for Computing Machinery. doi:10.1145/3540250.3558916 Peer reviewed |
![]() | ABUALHAIJA, S., Arora, C., Sleimi, A., & BRIAND, L. (2022). Automated Question Answering for Improved Understanding of Compliance Requirements: A Multi-Document Study. In Proceedings of the 30th IEEE International Requirements Engineering Conference (RE'22), Melbourne, Australia 15-19 August 2022 (pp. 39-50). IEEE. doi:10.1109/RE54965.2022.00011 Peer reviewed |
![]() | AMARAL CEJAS, O., ABUALHAIJA, S., Torre, D., SABETZADEH, M., & BRIAND, L. (2021). AI-enabled Automation for Completeness Checking of Privacy Policies. IEEE Transactions on Software Engineering. doi:10.1109/TSE.2021.3124332 Peer Reviewed verified by ORBi |
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![]() | EZZINI, S., ABUALHAIJA, S., Arora, C., SABETZADEH, M., & BRIAND, L. (2021). MAANA: An Automated Tool for DoMAin-specific HANdling of Ambiguity. In Proceedings of the 2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). IEEE. doi:10.1109/ICSE-Companion52605.2021.00082 Peer reviewed |
![]() | EZZINI, S., ABUALHAIJA, S., Arora, C., SABETZADEH, M., & BRIAND, L. (2021). Using Domain-specific Corpora for Improved Handling of Ambiguity in Requirements. In Proceedings of the 43rd International Conference on Software Engineering (ICSE'21), Madrid 25-28 May 2021. IEEE. doi:10.1109/ICSE43902.2021.00133 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 |
![]() | ABUALHAIJA, S., Arora, C., SABETZADEH, M., BRIAND, L., & Traynor, M. (2020). Automated Demarcation of Requirements in Textual Specifications: A Machine Learning-Based Approach. Empirical Software Engineering. doi:10.1007/s10664-020-09864-1 Peer Reviewed verified by ORBi |
![]() | ABUALHAIJA, S., ARORA, C., SABETZADEH, M., BRIAND, L., & Vaz, E. (2019). A Machine Learning-Based Approach for Demarcating Requirements in Textual Specifications. In Proceedings of the 27th IEEE International Requirements Engineering Conference (RE'19), Jeju, Korea (South), 23-27 September, 2019. IEEE. doi:10.1109/RE.2019.00017 Peer reviewed |