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| Criterion |  Knowledge Modeling Shape-First Modeling |  Agile Example Mapping |  Agile Acceptance Criteria Workshop |
|---|---|---|---|
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. | 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. | When a story needs clear checkpoints before implementation, it sharpens expectation and scope together. It sorts work by value, risk, and delivery ability. The result is captured as Acceptance Criteria and a Story Update. |
Complexitydifferent | Medium | Low | Low |
Timedifferent | Halber Tag pro Domain Slice | 30-60 min | 20-40 min pro Story |
Participantsdifferent | 1-4 | 3-7 | 3-6 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Example Map, Acceptance Criteria, Open Questions | Acceptance Criteria, Story Update |
Tagsno overlap | Knowledge graphValidationSemantic | Behavior-Driven DevelopmentRequirementsExamplesRefinement | AgileRequirementsRefinementBehavior-Driven Development |
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