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Criterion
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration for Change Analysis.
Operations
Change Analysis
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
SAAM helps teams judge an architecture’s suitability for selected tasks and changes. It is particularly useful for examining modifiability and comparing architecture alternatives with clear reasoning.For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise.When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitydifferent
HighMediumLowHigh
Timedifferent
Preparation, scenario analysis, and findings review; effort depends on scope45-120 min30-90 min2-6 h
Participantsdifferent
Architecture experts and stakeholders for scenarios and weighting2-62-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Domain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesChange Matrix, Cause Hypotheses, Validation Questions, Action ListConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
ArchitectureChangeAnalysisComparisonQuality
ChangeRoot causeTroubleshootingComparison
ConstraintsDecisionPlanningOptions
Systems thinkingRoot causeConstraintsCausality
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