Abstract
Design Science Research (DSR) still reveals several methodical shortcomings, which need to be remedied in order to enhance the maturity of DSR and its derived artifacts. For instance, there is a remarkable lack in methodical support for problem formulation. Also, DSR does not provide detailed procedure models, which can be operationalized appropriately. This compromises rigor within the design process and hampers demarcation from professional practice. In order to tackle these issues, we propose the adaptation of Requirements Engineering for structuring the problem space and deriving design decisions systematically. Requirements are also intended to work as glue between single design stages in order to keep the design process comprehensible and transparent. We therefore justify an ontology-based analogy between requirements analysis and DSR parts and provide a requirements-driven DSR framework based on a four-part ontology that especially focuses problem analysis and design preparation. Moreover, a detailed state of the art is presented and our approach is discussed within a critical appraisal.
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Braun, R., Benedict, M., Wendler, H., Esswein, W. (2015). Proposal for Requirements Driven Design Science Research. In: Donnellan, B., Helfert, M., Kenneally, J., VanderMeer, D., Rothenberger, M., Winter, R. (eds) New Horizons in Design Science: Broadening the Research Agenda. DESRIST 2015. Lecture Notes in Computer Science(), vol 9073. Springer, Cham. https://doi.org/10.1007/978-3-319-18714-3_9
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DOI: https://doi.org/10.1007/978-3-319-18714-3_9
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