Natural Language Processing in Requirements Engineering and Its Challenges for Requirements Modelling in the Engineering Design Domain

van Remmen JS, Horber D, Lungu A, Chang F, van Putten S, Götz S, Wartzack S (2023)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2023

Publisher: Cambridge University Press

Series: Volume 3: ICED23

City/Town: Cambridge

Pages Range: 2765 - 2774

Conference Proceedings Title: Proceedings of the Design Society

Event location: Bordeaux, Frankreich FR

URI: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/natural-language-processing-in-requirements-engineering-and-its-challenges-for-requirements-modelling-in-the-engineering-design-domain/259AA4D7F2EF1EF3428FD2C1612AAB9C

DOI: 10.1017/pds.2023.277

Open Access Link: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/natural-language-processing-in-requirements-engineering-and-its-challenges-for-requirements-modelling-in-the-engineering-design-domain/259AA4D7F2EF1EF3428FD2C1612AAB9C

Abstract

Requirements represent a central element in product development. The large number of requirements inevitably results in an increased susceptibility to errors, an expenditure of time and development costs. The associated problems motivate the application of Artificial Intelligence in the form of Natural Language Processing (NLP). In Requirements Engineering one main task is the classification of requirements which serves as the input in architectural models e.g. in SysML. In mechanical engineering there is still little overview regarding the interface between requirements classification and modelling. This paper provides an overview of the requirement classes and entities used in the literature and analyses their utilisation in modelling. Existing requirements classes usually do not offer the flexibility to be transferred to other domains. However, basic structures can be adopted from those classifications. This enables a clear assignment of existing classes to object classes in modelling. Resulting from the conducted literature study the observed predominant focus of research on the software industry requires an extension of the existing requirement classes and entities to enable further use and transfer to mechanical engineering.

Authors with CRIS profile

Judith Sophie van Remmen Chair of Engineering Design Dennis Horber Chair of Engineering Design Stefan Götz Chair of Engineering Design Sandro Wartzack Chair of Engineering Design

Involved external institutions

Audi AG DE Germany (DE)

How to cite

APA:

van Remmen, J.S., Horber, D., Lungu, A., Chang, F., van Putten, S., Götz, S., & Wartzack, S. (2023). Natural Language Processing in Requirements Engineering and Its Challenges for Requirements Modelling in the Engineering Design Domain. In Design Society (Eds.), Proceedings of the Design Society (pp. 2765 - 2774). Bordeaux, Frankreich, FR: Cambridge: Cambridge University Press.

MLA:

van Remmen, Judith Sophie, et al. "Natural Language Processing in Requirements Engineering and Its Challenges for Requirements Modelling in the Engineering Design Domain." Proceedings of the 24th International Conference on Engineering Design, Bordeaux, Frankreich Ed. Design Society, Cambridge: Cambridge University Press, 2023. 2765 - 2774.

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