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Automated Requirement Dependency Analysis for Complex Technical Systems

Published online by Cambridge University Press:  26 May 2022

I. Gräßler ,
C. Oleff ,
M. Hieb  and
D. Preuß
I. Gräßler
Affiliation:
Paderborn University, Germany
C. Oleff*
Affiliation:
Paderborn University, Germany
M. Hieb
Affiliation:
Paderborn University, Germany
D. Preuß
Affiliation:
Paderborn University, Germany
*
christian.oleff@hni.upb.de

Abstract

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Requirements changes are a leading cause for project failures. Due to propagation effects, change management requires dependency analysis. Existing approaches have shortcomings regarding ability to process large requirement sets, availability of required data, differentiation of propagation behavior and consideration of higher order dependencies. This paper introduces a new method for advanced requirement dependency analysis based on machine learning. Evaluation proves applicability and high performance by means of a case example, 4 development projects and 3 workshops with industry experts.

Keywords

requirements managementchange managementsystems engineering (SE)dependency analysisartificial intelligence (AI)

Information

Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1865 - 1874
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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