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Criterion
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration of a Concept Map with concepts and labelled links
Knowledge Modeling
Concept Mapping
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
The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly.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
LowMediumHighMedium
Timedifferent
20-60 min1-2 hSeveral meetings plus preparation and analysis; total effort depends on scope3–4 h for initial assessment; preparation and deeper analysis additional
Participantsdifferent
11-8Evaluation team, architects, and relevant stakeholders1 or a small team; particularly suitable for 3–4 people
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Plain-language Explanation, Knowledge Gaps, Study NotesConcept Map, Relationship Labels, Knowledge GapsPrioritized 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
LearningKnowledgeUnderstanding
KnowledgeConceptsMappingSensemaking
ArchitectureQualityRiskTradeoffsStakeholders
ArchitectureQualityRiskAssessmentLean
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