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Criterion
Paper illustration of Ontology Design Patterns with its method-specific working model.
Knowledge Modeling
Ontology Design Patterns
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles.LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitysame
MediumMediumMediumMedium
Timedifferent
1-3 h pro Pattern3–4 h for initial assessment; preparation and deeper analysis additional2–4 h review as a planning range; preparation and evaluation additional45-60 min
Participantsdifferent
1-61 or a small team; particularly suitable for 3–4 peopleDesigners, developers as users, and facilitation2-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Selected Patterns, Adapted Schema Fragments, Pattern DocumentationLean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checksPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsAssumption map, Test backlog, Risk ranking
Tagsno overlap
OntologyPatternsReuseSemanticModeling
ArchitectureQualityRiskAssessmentLean
ArchitectureEngineeringFeedbackValidationTasks
AssumptionsRiskExperimentsValidation
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