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Criterion
Paper illustration of Ontology Design Patterns with its method-specific working model.
Knowledge Modeling
Ontology Design Patterns
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
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)
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.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.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.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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-3 h pro PatternSeveral meetings plus preparation and analysis; total effort depends on scope2-4 h3–4 h for initial assessment; preparation and deeper analysis additional
Participantsdifferent
1-6Evaluation team, architects, and relevant stakeholders2-81 or a small team; particularly suitable for 3–4 people
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Selected Patterns, Adapted Schema Fragments, Pattern DocumentationPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsCompetency Question Set, Required Concepts, Test Queries, Coverage MatrixLean 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 checks
Tagsno overlap
OntologyPatternsReuseSemanticModeling
ArchitectureQualityRiskTradeoffsStakeholders
OntologyKnowledge graphScopeRequirementsSemantic
ArchitectureQualityRiskAssessmentLean
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