Sallam Abualhaija
|
|
||||
| Faculty or Centre | Interdisciplinary Centre for Security, Reliability and Trust | ||||
| Department | SVV | ||||
| Postal Address |
Université du Luxembourg 29, avenue JF Kennedy L-1855 Luxembourg |
||||
| Campus Office | JFK Building, E01-115 | ||||
|
|||||
| Telephone | (+352) 46 66 44 5931 | ||||
| Fax | (+352) 46 66 44 35931 | ||||
Sallam ABUALHAIJA received her PhD degree in Computer Science / Computational Linguistics in 2016 from Hamburg University of Technology (Germany). Her field of research is Artificial Intelligence for software engineering, with specific interests in natural language processing, text mining, machine learning, requirements engineering and legal and regulatory compliance.
Sallam worked as a postdoctoral researcher at L3S research centre in Hanover (Germany) where she focused on social media analysis during crises within K3-project (“krisenkommunikation in social Netzwerke”); a joint project in collaboration with relief organisations in Germany. She has joined the Software Verification and Validation group – V&V Lab headed by Prof. Lionel Briand.
Last updated on: Tuesday, 20 April 2021
In press
AI-enabled Automation for Completeness Checking of Privacy Policies; ; ; ;
in IEEE Transactions on Software Engineering (in press)
2021
A Model-based Conceptualization of Requirements for Compliance Checking of Data Processing against GDPR; ; ;
in 2020 IEEE Eleventh International Model-Driven Requirements Engineering (MoDRE) (2021, September)
Using Domain-specific Corpora for Improved Handling of Ambiguity in Requirements; ; ; ;
in In Proceedings of the 43rd International Conference on Software Engineering (ICSE'21), Madrid 25-28 May 2021 (2021, May)
2020
Automated Demarcation of Requirements in Textual Specifications: A Machine Learning-Based Approach; ; ; ;
in Empirical Software Engineering (2020)
An AI-assisted Approach for Checking the Completeness of Privacy Policies Against GDPR; ; ; ; ; ;
in in Proceedings of the 28th IEEE International Requirements Engineering Conference (RE’20) (2020, September)
2019
A Machine Learning-Based Approach for Demarcating Requirements in Textual Specifications; ; ; ;
in 27th IEEE International Requirements Engineering Conference (RE'19) (2019)
