ABUALHAIJA, S., CECI, M., SANNIER, N., BIANCULLI, D., ZETZSCHE, D. A., & BODELLINI, M. (In press). 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. Lisbon, Portugal: ACM. Peer reviewed |
CECI, M., SANNIER, N., ABUALHAIJA, S., SHIN, D., BIANCULLI, D., & HALLING, M. (In press). 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. ACM. Peer reviewed |
ABUALHAIJA, S., CECI, M., SANNIER, N., BIANCULLI, D., Briand, L., ZETZSCHE, D. A., & BODELLINI, M. (In press). AI-enabled Regulatory Change Analysis of Legal Requirements. In Proceedings of the 32nd IEEE International Requirements Engineering Conference (RE'24). IEEE. 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 |
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. |
ABUALHAIJA, S., BaŞAk Aydemir, F., Dalpiaz, F., Dell'Anna, D., Ferrari, A., Franch, X., & Fucci, D. (2023). Replication and Verifiability in Requirements Engineering: the NLP for RE Case. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57706. |
Ilyas Azeem, M., & ABUALHAIJA, S. (2023). A Multi-solution Study on GDPR AI-enabled Completeness Checking of DPAs. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57953. |
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 |
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 |
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 |
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 |
Amaral Cejas, O., Abualhaija, S., Sabetzadeh, M., & Briand, L. (2021). A Model-based Conceptualization of Requirements for Compliance Checking of Data Processing against GDPR. In Proceedings of the 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW). IEEE. doi:10.1109/REW53955.2021.00009 Peer reviewed |
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 |
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 |