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Criterion
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of NeOn Methodology with its method-specific working model.
Knowledge Modeling
NeOn Methodology
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
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.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.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.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
MediumHighHighMedium
Timedifferent
2-4 hSeveral meetings plus preparation and analysis; total effort depends on scopeMehrere Wochen bis Monate3–4 h for initial assessment; preparation and deeper analysis additional
Participantsdifferent
2-8Evaluation team, architects, and relevant stakeholders2-101 or a small team; particularly suitable for 3–4 people
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Competency Question Set, Required Concepts, Test Queries, Coverage MatrixPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsOntology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation ReportLean 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
OntologyKnowledge graphScopeRequirementsSemantic
ArchitectureQualityRiskTradeoffsStakeholders
OntologyMethodologyReuseSemanticEngineering
ArchitectureQualityRiskAssessmentLean
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