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| Criterion |  Engineering Fault Isolation |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling Linked Open Terms |  Engineering Hypothesis-Driven Troubleshooting |
|---|---|---|---|---|
Purposedifferent | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-180 min | 1-3 h pro Pattern | Wochen bis Monate | 30-240 min |
Participantsdifferent | 1-6 | 1-6 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | TroubleshootingDiagnosisEngineering | OntologyPatternsReuseSemanticModeling | OntologyMethodologyAgileSemantic | TroubleshootingProblem solvingDiagnosis |