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Criterion
Paper illustration for Pareto Analysis
Decision Making
Pareto Analysis
Paper illustration for Change Analysis.
Operations
Change Analysis
Paper illustration for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Purposedifferent
In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle.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 process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.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
LowMediumHighHigh
Timedifferent
30-60 min45-120 min2-6 hPreparation, scenario analysis, and findings review; effort depends on scope
Participantsdifferent
1-62-63-10Architecture experts and stakeholders for scenarios and weighting
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Pareto Chart, Top Causes, Focus ListChange Matrix, Cause Hypotheses, Validation Questions, Action ListFMEA Table, Risk Priority, Mitigation ActionsDomain 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
PrioritizationQualityFocusRoot cause
ChangeRoot causeTroubleshootingComparison
RiskQualityOperationsRoot cause
ArchitectureChangeAnalysisComparisonQuality
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