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Selected:Quality Attribute WorkshopCompetency QuestionsARID (Active Reviews for Intermediate Designs)Shape-First Modeling
| Criterion |  Architecture Quality Attribute Workshop |  Knowledge Modeling Competency Questions |  Architecture ARID (Active Reviews for Intermediate Designs) |  Knowledge Modeling Shape-First Modeling |
|---|---|---|---|---|
Purposedifferent | A Quality Attribute Workshop translates quality requirements into concrete scenarios and architecture impulses. The method brings product, engineering, and operations to the same view of desired properties. | 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. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 2-4 h | 2-4 h | 2–4 h review as a planning range; preparation and evaluation additional | Halber Tag pro Domain Slice |
Participantsdifferent | 5-15 | 2-8 | Designers, developers as users, and facilitation | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Quality Scenarios, Priority List, Architecture Concerns | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | RequirementsArchitectureWorkshop | OntologyKnowledge graphScopeRequirementsSemantic | ArchitectureEngineeringFeedbackValidationTasks | Knowledge graphValidationSemantic |