Visualize linked data with the help of AI
In order to check existing systems, it must be possible to trace requirements back to events in the development process. In order to ensure this traceability, it is necessary to link requirements to specific events. However, user-friendly tracing is difficult even when requirements and events are linked, because there are a large number of them. Linked Data Visualization can help with the problem.
The Linked Data Visualization method aims at the graphical representation of certain interesting information within a data set. The visualizations must be selected according to the type of data and populated with appropriate inputs that include requirements, development events, and relationships.
The benefit in tracing requirements is that organizations can analyze the impact of events. When changes are made, the impact on requirements or other system elements can be identified and tracked. As a result, any problems that arise can be quickly identified. This can support employees when clarity is otherwise not always available in complex system models and structures.
For this to succeed, the input events must be created and prepared with appropriate care. In addition, employees must be trained to create the input events and to handle the traceability analyses.
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