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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 of Property Graph Schema Design with its method-specific working model.
Knowledge Modeling
Property Graph Schema Design
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
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.Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together.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.Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
3–4 h for initial assessment; preparation and deeper analysis additional4-8 h initial, dann iterativSeveral meetings plus preparation and analysis; total effort depends on scope2-4 h
Participantsdifferent
1 or a small team; particularly suitable for 3–4 people1-6Evaluation team, architects, and relevant stakeholders2-8
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 checksSchema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample QueriesPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsCompetency Question Set, Required Concepts, Test Queries, Coverage Matrix
Tagsno overlap
ArchitectureQualityRiskAssessmentLean
Knowledge graphModelingSemantic
ArchitectureQualityRiskTradeoffsStakeholders
OntologyKnowledge graphScopeRequirementsSemantic
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