Designing NLP-Based Solutions for Requirements Variability Management: Experiences from a Design Science Study at Visma Show others and affiliations
2024 (English) In: Requirements Engineering: Foundation for Software Qualit / [ed] Daniel Mendez, Ana Moreira, Springer Science+Business Media B.V., 2024, p. 191-204Conference paper, Published paper (Refereed)
Abstract [en]
Context and motivation: In this industry-academia collaborative project, a team of researchers, supported by a software architect, business analyst, and test engineer explored the challenges of requirement variability in a large business software development company. Question/ problem: Following the design science paradigm, we studied the problem of requirements analysis and tracing in the context of contractual documents, with a specific focus on managing requirements variability. This paper reports on the lessons learned from that experience, highlighting the strategies and insights gained in the realm of requirements variability management.Principal ideas/results: This experience report outlines the insights gained from applying design science in requirements engineering research in industry. We show and evaluate various strategies to tackle the issue of requirement variability. Contribution: We report on the iterations and how the solution development evolved in parallel with problem understanding. From this process, we derive five key lessons learned to highlight the effectiveness of design science in exploring solutions for requirement variability in contract-based environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Place, publisher, year, edition, pages Springer Science+Business Media B.V., 2024. p. 191-204
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 14588
Keywords [en]
Industry-academia collaboration, Lessons learned, Requirements variability management, Computer software selection and evaluation, Design, Industrial research, Project management, Software architecture, Software design, Software testing, Business analysts, Collaborative programs, Design science, Lesson learned, Requirement variability management, Requirements variability, Science studies, Software architects, Variability management, Requirements engineering
National Category
Software Engineering
Identifiers URN: urn:nbn:se:bth-26155 DOI: 10.1007/978-3-031-57327-9_12 ISI: 001209314200012 Scopus ID: 2-s2.0-85190698479 ISBN: 9783031573262 (print) OAI: oai:DiVA.org:bth-26155 DiVA, id: diva2:1855173
Conference 30th International Working Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2024, Winterthur 8 April through 12 April 2024
Part of project SERT- Software Engineering ReThought, Knowledge Foundation
Funder Knowledge Foundation, 20180010 2024-04-302024-04-302024-05-30 Bibliographically approved