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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Agile Specification by Example |  Knowledge Modeling Competency Questions |  Agile Example Mapping |
|---|---|---|---|---|
Purposedifferent | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. | When business rules need to become precise, it ties language, example, and test together. It sorts work by value, risk, and delivery ability. The result is captured as an Example Table and Acceptance Tests. | 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. | When a story carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 4-8 h initial, dann iterativ | 60-90 min pro Feature | 2-4 h | 30-60 min |
Participantsdifferent | 1-6 | 3-6 | 2-8 | 3-7 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Example Table, Acceptance Tests | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Example Map, Acceptance Criteria, Open Questions |
Tagsno overlap | Knowledge graphModelingSemantic | AgileRequirementsExamplesBehavior-Driven Development | OntologyKnowledge graphScopeRequirementsSemantic | Behavior-Driven DevelopmentRequirementsExamplesRefinement |