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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Quality Attribute Workshop workspace showing the question, observations, and next decision.
Architecture
Quality Attribute Workshop
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
Purposedifferent
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.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.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
MediumMediumMediumHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional2-4 hHalber Tag pro Domain SliceMehrere Wochen bis Monate
Participantsdifferent
Designers, developers as users, and facilitation5-151-42-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsQuality Scenarios, Priority List, Architecture ConcernsSHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
RequirementsArchitectureWorkshop
Knowledge graphValidationSemantic
OntologyMethodologyReuseSemanticEngineering
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