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Selected:ATAM (Architecture Tradeoff Analysis Method)NeOn MethodologyFailure Mode and Effects AnalysisOntology Design Patterns
| Criterion |  Architecture ATAM (Architecture Tradeoff Analysis Method) |  Knowledge Modeling NeOn Methodology |  Operations Failure Mode and Effects Analysis |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | 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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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 | High | High | High | Medium |
Timedifferent | Several meetings plus preparation and analysis; total effort depends on scope | Mehrere Wochen bis Monate | 2-6 h | 1-3 h pro Pattern |
Participantsdifferent | Evaluation team, architects, and relevant stakeholders | 2-10 | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Prioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | FMEA Table, Risk Priority, Mitigation Actions | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | ArchitectureQualityRiskTradeoffsStakeholders | OntologyMethodologyReuseSemanticEngineering | RiskQualityOperationsRoot cause | OntologyPatternsReuseSemanticModeling |