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| Criterion |  Knowledge Modeling Shape-First Modeling |  Architecture C4 Model |  Knowledge Modeling Competency Questions |  Architecture arc42 |
|---|---|---|---|---|
Purposedifferent | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | arc42 structures architecture knowledge so teams can document system, decisions, and risks consistently. The template builds a living understanding of the architecture instead of scattered notes. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | Halber Tag pro Domain Slice | 1-4 h | 2-4 h | 1-2 Tage |
Participantsdifferent | 1-4 | 1-5 | 2-8 | 1-4 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Context Diagram, Container Diagram, Component Diagram | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Architecture Document, Context View, Runtime View, Deployment View |
Tagsno overlap | Knowledge graphValidationSemantic | ArchitectureCommunicationVisualization | OntologyKnowledge graphScopeRequirementsSemantic | ArchitectureDocumentationCommunication |