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Criterion
Paper illustration for Standard Work Analysis.
Operations
Standard Work Analysis
Paper illustration for Change Analysis.
Operations
Change Analysis
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Purposedifferent
When the same task is done differently depending on the person, the method exposes the reliable core. It creates comparability without unnecessarily choking off needed latitude.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.For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.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
MediumMediumLowHigh
Timedifferent
1-3 h45-120 min15-30 minPreparation, scenario analysis, and findings review; effort depends on scope
Participantsdifferent
2-62-62-6Architecture experts and stakeholders for scenarios and weighting
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Standard Work Sheet, Deviation List, Improved Standard, Training NeedsChange Matrix, Cause Hypotheses, Validation Questions, Action ListRoot cause notes, CountermeasuresDomain 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
LeanProcessQuality
ChangeRoot causeTroubleshootingComparison
Root causeIncidentLeanProblem solving
ArchitectureChangeAnalysisComparisonQuality
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