The continuous development and consistent documentation of requirements and goals is a major challenge in product development. Inconsistency can lead to immense changes in development time, costs or quality. If major inconsistencies are not detected, a project failure may occur. As systems-of-systems (SoS) are developed by many stakeholders from independent organizational units using many different methods, processes and tools, this brings new challenges to obtain consistency and continuity on multiple levels and in different phases of the product development process. As changes to requirements can have a wide impact on the distributed and partly independent working development teams, requirements and goals as well as their heterogeneous interrelations and boundary conditions have to be modelled as a continuous system of objectives. The KaRDF approach developed at the IPEK - Institute of Product Engineering at the Karlsruhe Institute of Technology uses the semantic web technology RDF to link development artefacts independent of their representation in order to build consistent product models for systems-of-systems on different level of detail supporting multiple development and product generations. This research work presents the results of an empirical study in the Smart Mobility domain where KaRDF was used to support the development of SoS. The KaRDF ontology and inference rules are implemented in a web-based software tool which is used by project managers from a German car manufacturer for adding semantic metadata to their development artefacts. The results show that through usage of the defined semantic metadata structure and inference rules, continuity and consistency in product development of systems-of-systems is improved and the ability of the approach to integrate with heterogeneous methods, processes and tools used in a systems-of-systems development environment is proven.
Albers, A., & Kurrle, A. (2018). Using semantic metadata for continuous development of requirements and goals in the Smart Mobility domain - An empirical study. In Procedia CIRP (Vol. 70, pp. 168–173). Elsevier B.V. https://doi.org/10.1016/j.procir.2018.03.070