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Criterion
Paper illustration for Change Analysis.
Operations
Change Analysis
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration for Constraint Analysis.
Decision Making
Constraint Analysis
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
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.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.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
MediumHighLowHigh
Timedifferent
45-120 minPreparation, scenario analysis, and findings review; effort depends on scope30-90 min2-6 h
Participantsdifferent
2-6Architecture experts and stakeholders for scenarios and weighting2-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Change Matrix, Cause Hypotheses, Validation Questions, Action ListDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesConstraint List, Hard/Soft Classification, Option Impact Notes, Decision BoundariesCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
ChangeRoot causeTroubleshootingComparison
ArchitectureChangeAnalysisComparisonQuality
ConstraintsDecisionPlanningOptions
Systems thinkingRoot causeConstraintsCausality
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