Data Based Analysis of Requirements in Product Development Represented in Graph Based Semantic Requirement Nets
- Resource Type
- Conference
- Authors
- Riesener, M.; Slawik, V.; Holtmann, T.; Frolian, S.; Kuhn, M.; Schuh, G.
- Source
- 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Industrial Engineering and Engineering Management (IEEM), 2023 IEEE International Conference on. :0891-0895 Dec, 2023
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Transportation
Semantics
Pipelines
Natural languages
Industrial engineering
Product development
Stakeholders
Context modeling
Semantic Requirements Net
Management
Requirements
AI
- Language
This paper systematically describes how the dependencies of natural language requirements can be implemented using a data based approach. A basis for further validation is conceptualized. In a short introduction and motivation, it is described that the need for a cross-system interconnection of individual requirements from different stakeholders can be met with data based methods. The methodology of automating the cross-linking as well as the representation of the interdependent requirements are described in the context of graph-based methods and generative large language models. Finally, an abstraction of the pipeline result is exemplified. This paper describes the basis for a methodology, which will be detailed in future work.