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Verification Types

Verification types classify acceptance tests by what they verify, ensuring comprehensive validation at Stage 5.


The Three Types

Type Abbreviation Question Focus
Installation Verification IV Can we deploy it? Infrastructure, configuration
Operational Verification OV Does it work? Functional requirements
Performance Verification PV Is it fast enough? Response times, throughput

All three must pass for production readiness.


Installation Verification (IV)

Confirms the solution can be deployed and configured correctly.

Validates Examples
Deployment procedures Scripts execute, IaC provisions correctly
Dependencies External services reachable, databases connected
Configuration Environment variables applied, secrets loaded
Infrastructure Load balancers operational, networking configured

Common IV patterns:

Pattern What it checks
Health check GET /health returns 200
Database connectivity GET /health/db returns 200
Configuration loaded Query config endpoint, verify values
Artifact integrity Version endpoint matches expected

Operational Verification (OV)

Ensures the solution operates as intended.

Validates Examples
Functional requirements Features work as specified
User workflows Authentication, CRUD, checkout
Business rules Calculations, permissions, constraints
Error handling Meaningful messages, graceful failures

Common OV patterns:

Pattern What it checks
Happy path Standard workflow succeeds
Error handling Invalid input rejected with error
Permissions Authorization rules enforced
State transitions Workflow progresses correctly

Performance Verification (PV)

Validates the solution meets performance requirements under expected load.

Validates Examples
Response times P50, P95, P99 latencies
Throughput Requests per second
Resource utilization CPU < 70%, Memory < 80%
Scalability Performance stable as load increases

Typical thresholds:

Metric Threshold
P95 response time < 200ms
P99 response time < 500ms
Throughput > 1000 req/s
CPU utilization < 70%
Error rate < 0.1%

PV test types:

Type Purpose
Load test Performance under expected load
Stress test Behavior under extreme load
Spike test Handling sudden traffic increase
Soak test Long-running stability (memory leaks)

Stage 5 Execution

Execution order (fail fast):

  1. IV first - If can't deploy, no point testing functionality
  2. OV next - If doesn't work, no point testing performance
  3. PV last - Validate performance of working system

Tagging in Gherkin:

@iv
Scenario: Application starts and responds to health checks

@ov
Scenario: User can complete checkout

@pv
Scenario: API responds within 200ms under load

Anti-Patterns

Anti-Pattern Problem Solution
Only OV tests Deployment/performance issues reach production Ensure IV and PV coverage
IV in dev environment Unrealistic validation Execute in PLTE
PV with unrealistic load Issues not detected Use production-like load
Manual verification Inconsistent, slow Automate all types

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