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Selected:Quality Attribute WorkshopARID (Active Reviews for Intermediate Designs)Shape-First ModelingNeOn Methodology
| Criterion |  Architecture Quality Attribute Workshop |  Architecture ARID (Active Reviews for Intermediate Designs) |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
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. | 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. | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 2-4 h | 2–4 h review as a planning range; preparation and evaluation additional | Halber Tag pro Domain Slice | Mehrere Wochen bis Monate |
Participantsdifferent | 5-15 | Designers, developers as users, and facilitation | 1-4 | 2-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Quality Scenarios, Priority List, Architecture Concerns | 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 | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | RequirementsArchitectureWorkshop | ArchitectureEngineeringFeedbackValidationTasks | Knowledge graphValidationSemantic | OntologyMethodologyReuseSemanticEngineering |