Data-driven agile requirements elicitation through the lenses of situational method engineering
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectDESARROLLO, OPERATIVA Y GOBERNANZA DE DATOS PARA SISTEMAS SOFTWARE BASADOS EN APRENDIZAJE AUTOMATICO (AEI-PID2020-117191RB-I00)
Ubiquitous digitalization has led to the continuous generation of large amounts of digital data, both in organizations and in society at large. In the requirements engineering community, there has been a growing interest in considering digital data as new sources for requirements elicitation, in addition to stake-holders. The volume, dynamics, and variety of data makes iterative requirements elicitation increasingly continuous, but also unstructured and complex, which current agile methods are unable to consider and manage in a systematic and efficient manner. There is also the need to support software evolution by enabling a synergy of stakeholder-driven requirements elicitation and management with data-driven approaches. In this study, we propose extension of agile requirements elicitation by applying situational method engineering. The research is grounded on two studies in the business domains of video games and online banking.
CitationFranch, X. [et al.]. Data-driven agile requirements elicitation through the lenses of situational method engineering. A: IEEE International Requirements Engineering Conference. "29th IEEE International Requirements Engineering Conference, RE 2021: September 20-24 2021, online event: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 402-407. ISBN 978-1-6654-2856-9. DOI 10.1109/RE51729.2021.00045.