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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Architecture Communication Canvas method illustration showing its working structure
Architecture
Architecture Communication Canvas
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
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.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.The Architecture Communication Canvas plans architecture communication so the right people receive the right message. The method turns technical complexity into deliberate communication design.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.
Complexitydifferent
MediumMediumMediumHigh
Timedifferent
Halber Tag pro Domain Slice2-4 h60-120 minSeveral meetings plus preparation and analysis; total effort depends on scope
Participantsdifferent
1-42-82-8Evaluation team, architects, and relevant stakeholders
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixCommunication Canvas, Stakeholder Messages, Architecture Communication PlanPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations
Tagsno overlap
Knowledge graphValidationSemantic
OntologyKnowledge graphScopeRequirementsSemantic
ArchitectureCommunicationStakeholdersCanvas
ArchitectureQualityRiskTradeoffsStakeholders
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