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Criterion
Paper illustration for Change Analysis.
Operations
Change Analysis
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
Paper fishbone diagram with a measurable effect at the head and six labeled cause branches.
Operations
Fishbone Diagram
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
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.The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes.When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers.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.
Complexitydifferent
MediumLowLowHigh
Timedifferent
45-120 min1-4 h30-60 minPreparation, scenario analysis, and findings review; effort depends on scope
Participantsdifferent
2-61-52-8Architecture experts and stakeholders for scenarios and weighting
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Change Matrix, Cause Hypotheses, Validation Questions, Action ListContext Diagram, Container Diagram, Component DiagramFishbone Diagram, Cause Categories, Investigation BacklogDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternatives
Tagsno overlap
ChangeRoot causeTroubleshootingComparison
ArchitectureCommunicationVisualization
Root causeQualityOperations
ArchitectureChangeAnalysisComparisonQuality
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