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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 Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for Change Analysis.
Operations
Change 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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.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.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
HighHighMediumHigh
Timedifferent
Preparation, scenario analysis, and findings review; effort depends on scope2-4 h45-120 min2-6 h
Participantsdifferent
Architecture experts and stakeholders for scenarios and weighting3-82-63-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + 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 alternativesFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsChange Matrix, Cause Hypotheses, Validation Questions, Action ListCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
ArchitectureChangeAnalysisComparisonQuality
Theory of ConstraintsSystems thinkingChange
ChangeRoot causeTroubleshootingComparison
Systems thinkingRoot causeConstraintsCausality
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