Test Design Techniques
<default_to_action> When designing test cases, select technique by input type:
- Numeric ranges → BVA + EP
- Multiple conditions → Decision Tables
- Workflows → State Transition
- Many parameter combinations → Pairwise Testing </default_to_action>
Quick Reference Card
When to Use
- Designing new test suites
- Optimizing existing tests
- Complex business rules
- Reducing test redundancy
Agent-Driven Test Design
// Auto-generate BVA tests
await Task("Generate BVA Tests", {
field: 'age',
dataType: 'integer',
constraints: { min: 18, max: 120 }
}, "qe-test-generator");
// Returns: 6 boundary test cases
// Auto-generate pairwise tests
await Task("Generate Pairwise Tests", {
parameters: {
browser: ['Chrome', 'Firefox', 'Safari'],
os: ['Windows', 'Mac', 'Linux'],
screen: ['Desktop', 'Tablet', 'Mobile']
}
}, "qe-test-generator");
// Returns: 9-12 tests (vs 27 full combination)Agent Coordination Hints
Memory Namespace
aqe/test-design/
├── bva-analysis/* - Boundary value tests
├── partitions/* - Equivalence partitions
├── decision-tables/* - Decision table tests
└── pairwise/* - Combinatorial reductionFleet Coordination
const designFleet = await FleetManager.coordinate({
strategy: 'systematic-test-design',
agents: [
'qe-test-generator', // Apply design techniques
'qe-coverage-analyzer', // Analyze coverage
'qe-quality-analyzer' // Assess test quality
],
topology: 'sequential'
});Related Skills
- agentic-quality-engineering - Agent-driven testing
- risk-based-testing - Prioritize by risk
- mutation-testing - Validate test effectiveness
Remember
With Agents: qe-test-generator applies these techniques automatically, generating optimal test suites with maximum coverage and minimum redundancy. Agents identify boundaries, partitions, and combinations from code analysis.