Vision for an artefact-based approach to regulatory requirements engineering
2021 (English)In: International Symposium on Empirical Software Engineering and Measurement, IEEE Computer Society , 2021, p. 1-6, article id 36Conference paper, Published paper (Refereed)
Abstract [en]
Background: Nowadays, regulatory requirements engineering (regulatory RE) faces challenges of interdisciplinary nature that cannot be tackled due to existing research gaps. Aims: We envision an approach to solve some of the challenges related to the nature and complexity of regulatory requirements, the necessity for domain knowledge, and the involvement of legal experts in regulatory RE. Method:We suggest the qualitative analysis of regulatory texts combined with the further case study to develop an empirical foundation for our research. Results: We outline our vision for the application of extended artefact-based modeling for regulatory RE. Conclusions: Empirical methodology is an essential instrument to address interdisciplinarity and complexity in regulatory RE. Artefact-based modeling supported by empirical results can solve a particular set of problems while not limiting the application of other methods and tools and facilitating the interaction between different fields of practice and research. © 2021 IEEE Computer Society. All rights reserved.
Place, publisher, year, edition, pages
IEEE Computer Society , 2021. p. 1-6, article id 36
Series
International Symposium on Empirical Software Engineering and Measurement, ISSN 1949-3770, E-ISSN 1949-3789 ; 15
Keywords [en]
Regulatory compliance, regulatory requirements engineering, Software compliance, Requirements engineering, Artifact based approach, Based modelling, Domain knowledge, Legal experts, Qualitative analysis, Regulatory requirement engineering, Regulatory requirements, Requirement engineering, Research gaps
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-22294DOI: 10.1145/3475716.3484191Scopus ID: 2-s2.0-85117931062ISBN: 9781450386654 (print)OAI: oai:DiVA.org:bth-22294DiVA, id: diva2:1609367
Conference
15th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2021, Virtual, Online, 11 October through 15 October
Note
open access
2021-11-082021-11-082022-12-02Bibliographically approved