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Criterion
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Purposedifferent
Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
MediumLowMediumHigh
Timedifferent
Halber Tag pro Domain Slice1-5 Tage3–4 h for initial assessment; preparation and deeper analysis additionalSeveral meetings plus preparation and analysis; total effort depends on scope
Participantsdifferent
1-4Nutzertraffic1 or a small team; particularly suitable for 3–4 peopleEvaluation team, architects, and relevant stakeholders
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationInterest Metrics, Conversion Signal, Learning NoteLean 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 checksPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations
Tagsno overlap
Knowledge graphValidationSemantic
ValidationExperimentsDemandGrowth
ArchitectureQualityRiskAssessmentLean
ArchitectureQualityRiskTradeoffsStakeholders
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