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Selected:NeOn MethodologyOntology Design PatternsLASR (Lightweight Approach for Software Reviews)ATAM (Architecture Tradeoff Analysis Method)
| Criterion |  Knowledge Modeling NeOn Methodology |  Knowledge Modeling Ontology Design Patterns |  Architecture LASR (Lightweight Approach for Software Reviews) |  Architecture ATAM (Architecture Tradeoff Analysis Method) |
|---|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | Mehrere Wochen bis Monate | 1-3 h pro Pattern | 3–4 h for initial assessment; preparation and deeper analysis additional | Several meetings plus preparation and analysis; total effort depends on scope |
Participantsdifferent | 2-10 | 1-6 | 1 or a small team; particularly suitable for 3–4 people | Evaluation team, architects, and relevant stakeholders |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | 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 checks | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | OntologyPatternsReuseSemanticModeling | ArchitectureQualityRiskAssessmentLean | ArchitectureQualityRiskTradeoffsStakeholders |