Reference : COREQQA: A COmpliance REQuirements Understanding using Question Answering Tool
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/52643
COREQQA: A COmpliance REQuirements Understanding using Question Answering Tool
English
Abualhaija, Sallam mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV >]
Arora, Chetan []
Briand, Lionel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV >]
2022
ACM SIGSOFT CONFERENCE ON THE FOUNDATIONS OF SOFTWARE ENGINEERING
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2022 - Tool Demonstrations)
Yes
ACM SIGSOFT CONFERENCE ON THE FOUNDATIONS OF SOFTWARE ENGINEERING
14-11-2022 to 18-11-2022
[en] Requirements Engineering (RE) ; Regulatory Compliance ; Natural Language Processing (NLP) ; Question Answering ; Language Models (LMs) ; BERT
[en] We introduce COREQQA, a tool for assisting requirements engineers in acquiring a better understanding of compliance requirements by means of automated Question Answering. Extracting compliance-related requirements by manually navigating through a legal document is both time-consuming and error-prone. COREQQA enables requirements engineers to pose questions in natural language about a compliance-related topic given some legal document, e.g., asking about data breach. The tool then automatically navigates through the legal document and returns to the requirements engineer a list of text passages containing the possible answers to the input question. For better readability, the tool also highlights the likely answers in these passages. The engineer can then use this output for specifying compliance requirements. COREQQA is developed using advanced large-scale language models from BERT’s family. COREQQA has been evaluated on four legal documents. The results of this evaluation are briefly presented in the paper. The tool is publicly available on Zenodo (https://doi.org/10.5281/zenodo.6653514).
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/52643
10.1145/3540250.3558926

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