Automatisierte Identifikation und Charakterisierung von Anforderungsabhängigkeiten – Literaturstudie zum Vergleich von Lösungsansätzen

Proceedings of the 31st Symposium Design for X (DFX2020)

Year: 2020
Editor: Dieter Krause; Kristin Paetzold; Sandro Wartzack
Author: Gräßler, Iris; Preuß, Daniel; Oleff, Christian
Series: DfX
Institution: Heinz Nixdorf Institute; Chair of Product Creation; Paderborn University
Section: Design for X
Page(s): 199-208
DOI number: https://doi.org/10.35199/dfx2020.21

Abstract

Many development projects of complex, interdisciplinary products fail due to an inefficient handling of requirement changes. One reason for this is that requirement dependencies and the resulting change propagation are not sufficiently recognized and considered by existing approaches. Based on a literature study and two industry workshops, approaches of automated dependency analysis of requirements for interdisciplinary development are evaluated. The result is that ontology-based approaches are particularly suitable for the automated dependency analysis of requirements due to the use of expert knowledge and the possibility of automation. On this basis, subsequent research activities can further develop the handling of requirements changes in interdisciplinary projects in a targeted manner.

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