## 6 Discussion and Conclusions
### Research Contribution
The effort is sensible and it is feasible to integrate at least the relevant information in the unified central data model. The presented research has the main intention to expand the possibilities to employ function modeling approaches in the automated generation of different product configurations. In this context, not only parametrical differences, but also topological differences may be present with the developed product portfolio. This paper explains how function modeling may be carried out with the IFM Framework approach, but then translated into a fully digitalized structural model with DC43. DC43 automatically translates the created IF model into a UML model in the backend, and this UML model may be used for automated reasoning tests based on the function model. A particular asset of the explained application of GBDLs is the capability to automatically create feasible design alternatives and to automatically simulate their characteristics and behavior. This permits the rapid comparison of design alternatives and the selection of the \"fittest\" alternative. A further asset of the application of GBDLs, especially in comparison with other powerful approaches based on SysML [61] instead of UML, is that the approach allows the generation of detailed geometrical models in generic data formats directly from a central data model, which is formulated in the form of a design graph. The application of GBDLs creates an abstract digital system model that sensibly incorporates all relevant information concerning a design. This information may be transferred into relevant simulation tools, for instance for finite element analysis, computational flow dynamics and the likes; therefore, this allows a detailed evaluation of the impact of a proposed design variation. To illustrate and validate the proposed integration, we used the example of a multicopter. The generated model not only allowed us to successfully model the multicopter at the functional and structural level, but it further permitted us to use the model for detailed risk analysis using the format of common FMEA. Obviously, FMEAs have been successfully used in industry for decades. The presented work supports a stronger integration with the product model and an automatic generation. Many other analysis methods can be thought of that the underlying model could be fed into for design consideration and selection/comparison of design alternatives. Two central research gaps are addressed by the formal and conceptual integration of the IFM Framework into an engineering framework based on GBDLs. On the one hand, the integration results in the possibility of linking more quantitative modeling aspects with abstract design information, for instance use cases, processes, and the states of actors and operands. Thus, it directly addresses the mentioned gap of having a traceable, digital design chain from conceptual design considerations to system behavioral simulation. On the other hand, this integration can eventually enhance the reasoning regarding how certain components in a detailed design may affect the overall fulfilment of certain functions. Additionally, by extension, this integration could permit systematic prediction and man agement around engineering change management, which is a critical endeavor for most engineering companies.