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Criterion
Quality Attribute Workshop workspace showing the question, observations, and next decision.
Architecture
Quality Attribute Workshop
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
Purposedifferent
A Quality Attribute Workshop translates quality requirements into concrete scenarios and architecture impulses. The method brings product, engineering, and operations to the same view of desired properties.When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
2-4 h1-2 TageSeveral meetings plus preparation and analysis; total effort depends on scope3–4 h for initial assessment; preparation and deeper analysis additional
Participantsdifferent
5-15Based on research questionEvaluation team, architects, and relevant stakeholders1 or a small team; particularly suitable for 3–4 people
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Quality Scenarios, Priority List, Architecture ConcernsFindability Metrics, Path Analysis, Revised IAPrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigationsLean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checks
Tagsno overlap
RequirementsArchitectureWorkshop
Information architectureNavigationFindability
ArchitectureQualityRiskTradeoffsStakeholders
ArchitectureQualityRiskAssessmentLean
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