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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)
Paper illustration for Golden Path
Engineering
Golden Path
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
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.When teams need a reliable default path for frequent use, sprawl quickly emerges without any guiding logic. Golden Path bundles the preferred path so good practice becomes easy and deviation becomes deliberate.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 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 additional1-3 Tage Setup, laufend2-4 hMehrere Wochen bis Monate
Participantsdifferent
Designers, developers as users, and facilitation2-82-82-10
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsGolden Path Guide, Templates, Quality ChecksCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
EngineeringProductivityGovernance
OntologyKnowledge graphScopeRequirementsSemantic
OntologyMethodologyReuseSemanticEngineering
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