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Criterion
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)
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
Paper illustration of Ontology Design Patterns with its method-specific working model.
Knowledge Modeling
Ontology Design Patterns
Purposedifferent
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.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.Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles.
Complexitydifferent
MediumHighHighMedium
Timedifferent
3–4 h for initial assessment; preparation and deeper analysis additionalSeveral meetings plus preparation and analysis; total effort depends on scopeMehrere Wochen bis Monate1-3 h pro Pattern
Participantsdifferent
1 or a small team; particularly suitable for 3–4 peopleEvaluation team, architects, and relevant stakeholders2-101-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Lean 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 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 ReportSelected Patterns, Adapted Schema Fragments, Pattern Documentation
Tagsno overlap
ArchitectureQualityRiskAssessmentLean
ArchitectureQualityRiskTradeoffsStakeholders
OntologyMethodologyReuseSemanticEngineering
OntologyPatternsReuseSemanticModeling
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