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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
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.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
Halber Tag pro Domain Slice1-4 h2–4 h review as a planning range; preparation and evaluation additional2-4 h
Participantsdifferent
1-41-5Designers, developers as users, and facilitation2-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationContext Diagram, Container Diagram, Component DiagramPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsCompetency Question Set, Required Concepts, Test Queries, Coverage Matrix
Tagsno overlap
Knowledge graphValidationSemantic
ArchitectureCommunicationVisualization
ArchitectureEngineeringFeedbackValidationTasks
OntologyKnowledge graphScopeRequirementsSemantic
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