[en] Regulation changes over time due to amending or repealing existing legal provisions as well as introducing new ones. The finance field provides a concrete example of heavily regulated area which has seen continuous regulatory changes in the aftermath of the 2008 crisis. Software financial services like online banking or trading must constantly comply with the regulations. Monitoring and analyzing the regulatory change is essential to ensure that such services remain compliant. Regulatory changes can significantly affect existing software systems that were compliant at a certain point in time. However, tracing the regulatory changes entirely manually is time consuming and error-prone. In this position paper, we introduce our vision for automated financial regulations change impact
analysis. We aim at characterizing the regulatory changes pertinent
to financial regulations, and further providing automated support
for both identifying and classifying the regulatory changes as well
as analyzing the impact of such changes on existing (potentially
compliant) software systems.
Centre de recherche :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation NCER-FT - FinTech National Centre of Excellence in Research
Disciplines :
Sciences informatiques
Auteur, co-auteur :
ABUALHAIJA, Sallam ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
CECI, Marcello ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
SANNIER, Nicolas ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
BIANCULLI, Domenico ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV
ZETZSCHE, Dirk Andreas ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Law (DL)
BODELLINI, Marco ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Law (DL)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Toward Automated Change Impact Analysis of Financial Regulations
Date de publication/diffusion :
09 août 2024
Nom de la manifestation :
2024 Workshop on Software Engineering Challenges in Financial Firms (FinanSE '24)
Date de la manifestation :
April 16, 2024
Titre de l'ouvrage principal :
Proceedings of the 1st Workshop on Software Engineering Challenges in Financial Firms (FinanSE 2024), co-located with ICSE 2024
Maison d'édition :
ACM, Lisbon, Portugal
Pagination :
31-32
Peer reviewed :
Peer reviewed
Projet FnR :
FNR16570468 - 2021 (01/07/2022-30/06/2030) - Yves Le Traon
Sallam Abualhaija, Chetan Arora, Amin Sleimi, and Lionel Briand. 2022. Automated Question Answering for Improved Understanding of Compliance Requirements: A Multi-Document Study. In In Proceedings of the 30th IEEE International Requirements Engineering Conference (RE).
Chetan Arora, Mehrdad Sabetzadeh, Arda Goknil, Lionel C Briand, and Frank Zimmer. 2015. Change impact analysis for natural language requirements: An NLP approach. In Proceedings of the 23rd IEEE International Requirements Engineering Conference (RE). IEEE.
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877-1901.
Jane Cleland-Huang, Adam Czauderna, Marek Gibiec, and John Emenecker. 2010. A machine learning approach for tracing regulatory codes to product specific requirements. In Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering-Volume 1. 155-164.
European Union. 2018. Directive 2011/61/EU of the European Parliament and of the Council of 8 June 2011 on Alternative Investment Fund Managers and amending Directives 2003/41/EC and 2009/65/EC and Regulations (EC) No 1060/2009 and (EU) No 1095/2010.
O. C. Z. Gotel and Anthony Finkelstein. 1994. An analysis of the requirements traceability problem. In Proceedings of the First IEEE International Conference on Requirements Engineering. IEEE Computer Society, 94-101.
Nicola Henze, Peter Dolog, and Wolfgang Nejdl. 2004. Reasoning and ontologies for personalized e-learning in the semantic web. Journal of Educational Technology & Society 7, 4 (2004), 82-97.
D. Jurafsky and J. Martin. 2009. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (2nd ed.). Prentice Hall.
Damiano Torre, Sallam Abualhaija, Mehrdad Sabetzadeh, Lionel Briand, Katrien Baetens, Peter Goes, and Sylvie Forastier. 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). IEEE.
