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Criterion
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Change Analysis.
Operations
Change Analysis
Purposedifferent
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.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.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.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.
Complexitydifferent
HighHighMediumMedium
Timedifferent
2-6 hPreparation, scenario analysis, and findings review; effort depends on scope1-3 h45-120 min
Participantsdifferent
3-8Architecture experts and stakeholders for scenarios and weighting2-82-6
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Current Reality Tree, Core Problems, Intervention IdeasDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesCausal Loop Diagram, Feedback Notes, Leverage PointsChange Matrix, Cause Hypotheses, Validation Questions, Action List
Tagsno overlap
Systems thinkingRoot causeConstraintsCausality
ArchitectureChangeAnalysisComparisonQuality
FeedbackSystems thinkingCausalityDynamics
ChangeRoot causeTroubleshootingComparison
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