Natural Language Processing in Requirements Engineering and its Challenges for Requirements Modelling in the Engineering Design Domain
Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nadège Troussier
Author: van Remmen, Judith Sophie (1); Horber, Dennis (1); Lungu, Adriana (2); Chang, Fan (2); van Putten, Sebastiaan (2); Goetz, Stefan (1); Wartzack, Sandro (1)
Series: ICED
Institution: 1: Friedrich-Alexander-Universität Erlangen-Nürnberg; 2: AUDI AG
Section: Design Methods
Page(s): 2765-2774
DOI number: https://doi.org/10.1017/pds.2023.277
ISBN: -
ISSN: -
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.
Keywords: Requirements, Artificial intelligence, Natural Language Processing, Systems Engineering (SE), Literature review