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Selected:RAID LogOntology Design PatternsLASR (Lightweight Approach for Software Reviews)NeOn Methodology
| Criterion |  Delivery RAID Log |  Knowledge Modeling Ontology Design Patterns |  Architecture LASR (Lightweight Approach for Software Reviews) |  Knowledge Modeling NeOn Methodology |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as a RAID Log and a source for status reporting. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 30 min Setup, dann laufend | 1-3 h pro Pattern | 3–4 h for initial assessment; preparation and deeper analysis additional | Mehrere Wochen bis Monate |
Participantsdifferent | 1-3 maintaining, briefing for everyone | 1-6 | 1 or a small team; particularly suitable for 3–4 people | 2-10 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | RAID Log, Status Report Source | 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 | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report |
Tagsno overlap | RiskTrackingStakeholdersGovernance | OntologyPatternsReuseSemanticModeling | ArchitectureQualityRiskAssessmentLean | OntologyMethodologyReuseSemanticEngineering |