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Criterion
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
Paper illustration with architecture components and concrete change tasks for comparison.
Architecture
SAAM (Software Architecture Analysis Method)
Paper illustration for Change Analysis.
Operations
Change Analysis
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Purposedifferent
When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.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.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.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
30-240 minPreparation, scenario analysis, and findings review; effort depends on scope45-120 min1-4 h
Participantsdifferent
1-6Architecture experts and stakeholders for scenarios and weighting2-63-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Hypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryDomain functions mapped to components and connections, Quality attributes and evaluation criteria, Typical tasks and their effects on the architecture, Reasoned evaluation or comparison of alternativesChange Matrix, Cause Hypotheses, Validation Questions, Action ListProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
TroubleshootingProblem solvingDiagnosis
ArchitectureChangeAnalysisComparisonQuality
ChangeRoot causeTroubleshootingComparison
Root causeProblem solvingQualityIncident
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