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Criterion
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)
Paper illustration of Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of Competency Questions with its method-specific working model.
Knowledge Modeling
Competency Questions
Purposedifferent
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.Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures.
Complexitysame
MediumMediumMediumMedium
Timedifferent
3–4 h for initial assessment; preparation and deeper analysis additionalHalber Tag pro Domain Slice2–4 h review as a planning range; preparation and evaluation additional2-4 h
Participantsdifferent
1 or a small team; particularly suitable for 3–4 people1-4Designers, developers as users, and facilitation2-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Lean 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 checksSHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsCompetency Question Set, Required Concepts, Test Queries, Coverage Matrix
Tagsno overlap
ArchitectureQualityRiskAssessmentLean
Knowledge graphValidationSemantic
ArchitectureEngineeringFeedbackValidationTasks
OntologyKnowledge graphScopeRequirementsSemantic
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