Defining Requirements Strategies in Agile: A Design Science Research Study
Paper i proceeding, 2022

Research shows that many of the challenges currently encountered with agile development are related to requirements engineering. Based on design science research, this paper investigates critical challenges that arise in agile development from an undefined requirements strategy. We explore potential ways to address these challenges and synthesize the key building blocks of requirements strategies. Our design science research rests on a multiple case study with three industrial cases in the domains of communication technology, security services, and automotive. We relied on a total of 20 interviews, two workshops, participant observation in two cases, and document analysis in each of the cases to understand concrete challenges and workflows. In each case, we define a requirements strategy in collaboration with process managers and experienced engineers. From this experience, we extract guidelines for defining requirements strategies in agile development.

Design science research

Large-scale agile development

Requirements strategy

requirements engineering

Författare

Amna Pir Muhammad

Göteborgs universitet

Eric Knauss

Göteborgs universitet

Odzaya Batsaikhan

Göteborgs universitet

Nassiba El Haskouri

Göteborgs universitet

Yi Chun Lin

Göteborgs universitet

Alessia Knauss

Zenseact AB

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 13709 LNCS 73-89
9783031213878 (ISBN)

23rd International Conference on Product-Focused Software Process Improvement, PROFES 2022
Jyväskylä, Finland,

Supporting the interaction of Humans and Automated vehicles: Preparing for the Environment of Tomorrow (Shape-IT)

Europeiska kommissionen (EU) (EC/H2020/860410), 2019-10-01 -- 2023-09-30.

Ämneskategorier

Programvaruteknik

Systemvetenskap

Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

Datavetenskap (datalogi)

DOI

10.1007/978-3-031-21388-5_6

Mer information

Senast uppdaterat

2024-05-30