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fraudshield/specs/001-fraud-detection-engine/checklists/requirements.md
Felipe Domingues e31cba2847 spec: add fraud detection engine specification (001) 
4 user stories: alert investigation (P1), transaction ingestion
+ rule engine (P1), rule management (P2), dashboard (P3).
16 functional requirements, 7 success criteria, 5 entities.
Quality checklist: all 16 items passed.
2026-05-12 10:47:44 -03:00

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Specification Quality Checklist: Motor de Detecção de Fraudes Bancárias

Purpose: Validate specification completeness and quality before proceeding to planning Created: 2026-05-11 Feature: spec.md

Content Quality

  • No implementation details (languages, frameworks, APIs)
  • Focused on user value and business needs
  • Written for non-technical stakeholders
  • All mandatory sections completed

Requirement Completeness

  • No [NEEDS CLARIFICATION] markers remain
  • Requirements are testable and unambiguous
  • Success criteria are measurable
  • Success criteria are technology-agnostic (no implementation details)
  • All acceptance scenarios are defined
  • Edge cases are identified
  • Scope is clearly bounded
  • Dependencies and assumptions identified

Feature Readiness

  • All functional requirements have clear acceptance criteria
  • User scenarios cover primary flows
  • Feature meets measurable outcomes defined in Success Criteria
  • No implementation details leak into specification

Notes

  • All items pass. Spec is ready for /speckit.clarify or /speckit.plan.
  • No [NEEDS CLARIFICATION] markers were needed — all design decisions had reasonable defaults based on industry standards for fraud detection systems.
  • Key assumptions documented: tokenized transactions, OAuth2/OIDC auth delegation, rules-based v1 (no ML), LGPD compliance, web-based delivery.