Conceptualization of the use of Artificial Intelligence for Interdependencies Analysis in Requirements Engineering

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Burggräf, P.; Bergweiler, G.; Fiedler, Falko; Slawik, V.; Recker, J.: Conceptualization of the use of Artificial Intelligence for Interdependencies Analysis in Requirements Engineering. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2022. Hannover : publish-Ing., 2022, S. 225-234. DOI:

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Sum total of downloads: 433

The efficiency in product development is largely determined by the quality of the requirements and the ability of the product design and production planner to analyze them. Interdependencies between multiple requirements identified at an early stage enable a sustainable design of the product as well as the corresponding production system by increasing process efficiency as well as the effectiveness of development processes. However, the necessary analysis of complex interdependencies between requirements of a product and the corresponding production system is time-consuming, error-prone, and highly inefficient when performed manually. Current development processes are based on such manual processes for analyzing requirements in natural language and must therefore be adapted. This paper describes a methodical approach based on a semi-systematic literature review making the complexity of the interdependencies manageable by using existing approaches and methods in the field of model-based systems engineering (MBSE) as well as natural language processing (NLP). Thereby, a transition from informal requirements represented in natural language to analyzable and structured information, which enable interdependencies modeling for requirement chains, is described. A corresponding framework for analyzing interdependencies in the requirements engineering process is derived.
License of this version: CC BY 3.0 DE
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:Proceedings CPSL 2022
Proceedings CPSL 2022

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pos. country downloads
total perc.
1 image of flag of Germany Germany 265 61.20%
2 image of flag of China China 55 12.70%
3 image of flag of United States United States 32 7.39%
4 image of flag of France France 12 2.77%
5 image of flag of No geo information available No geo information available 7 1.62%
6 image of flag of Israel Israel 6 1.39%
7 image of flag of Canada Canada 6 1.39%
8 image of flag of India India 4 0.92%
9 image of flag of Colombia Colombia 4 0.92%
10 image of flag of Austria Austria 4 0.92%
    other countries 38 8.78%

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