The quality requirements for BookWorm are organized into a hierarchical quality tree, prioritizing the most important quality attributes for a cloud-native e-commerce platform.
- Source: 1000 concurrent users browsing the catalog
- Stimulus: Search and filter requests during peak hours
- Environment: Production environment under normal operation
- Artifact: Catalog service and database
- Response: System maintains response times under 2 seconds
- Response Measure: 95th percentile response time < 2000ms
- Source: User searching for books with complex filters
- Stimulus: Search query with multiple filters and sorting
- Environment: Production with full catalog (100k+ books)
- Artifact: Search service and search index
- Response: Search results returned quickly with relevance ranking
- Response Measure: Search response time < 500ms for 99% of queries
- Source: 200 concurrent chat sessions
- Stimulus: Real-time message exchange
- Environment: Production with SignalR hub scaling
- Artifact: Chat service and WebSocket connections
- Response: Messages delivered in real-time
- Response Measure: Message delivery latency < 100ms
- Source: Primary database becomes unavailable
- Stimulus: Database connection failure
- Environment: Production during business hours
- Artifact: All services using PostgreSQL
- Response: System switches to read replicas, writes queued
- Response Measure: Service restored within 5 minutes, zero data loss
- Source: Payment gateway experiencing high latency
- Stimulus: Payment processing requests timing out
- Environment: Production during checkout operations
- Artifact: Ordering service payment integration
- Response: Circuit breaker activates, users notified
- Response Measure: System remains operational, orders queued for retry
- Source: Container instance crashes
- Stimulus: Application exception causing container termination
- Environment: Azure Container Apps production environment
- Artifact: Any microservice instance
- Response: Health checks detect failure, new instance started
- Response Measure: Service automatically recovers within 30 seconds
- Source: 10x normal traffic load
- Stimulus: Sudden increase in concurrent users
- Environment: Production during promotional events
- Artifact: All services and infrastructure
- Response: Auto-scaling triggers, additional instances deployed
- Response Measure: System handles increased load without degradation
- Source: New market launch requiring regional deployment
- Stimulus: Need for reduced latency in new geographic region
- Environment: Multi-region Azure deployment
- Artifact: Complete application stack
- Response: Services deployed to new region with data replication
- Response Measure: Regional latency < 100ms, data consistency maintained
- Source: Malicious user attempting brute force login
- Stimulus: Multiple failed authentication attempts
- Environment: Production API gateway
- Artifact: Authentication service and rate limiting
- Response: Account locked, IP blocked, security team notified
- Response Measure: Attack mitigated within 1 minute
- Source: Unauthorized attempt to access customer data
- Stimulus: SQL injection or API manipulation
- Environment: Production database and API services
- Artifact: Data access layer and API endpoints
- Response: Request blocked, attempt logged, alerts triggered
- Response Measure: Zero unauthorized data access, full audit trail
- Source: Development team adding new book recommendation feature
- Stimulus: Business requirement for personalized recommendations
- Environment: Development and staging environments
- Artifact: Catalog service and new recommendation service
- Response: Feature implemented without affecting existing functionality
- Response Measure: Development completed in 2 weeks, zero regression
- Source: Need to migrate from one database to another
- Stimulus: Performance or cost optimization requirements
- Environment: Production environment with zero downtime requirement
- Artifact: Data access layer and migration scripts
- Response: Migration completed with data consistency maintained
- Response Measure: Zero downtime, all data migrated successfully
| Metric | Target | Measurement Method |
|---|
| API Response Time | 95th percentile < 2s | Application monitoring |
| Search Response Time | 99th percentile < 500ms | Custom telemetry |
| Chat Message Latency | < 100ms | SignalR metrics |
| Database Query Time | 95th percentile < 100ms | Database monitoring |
| Memory Usage | < 80% of allocated | Container metrics |
| CPU Utilization | < 70% average | Infrastructure monitoring |
| Requirement | Target | Verification Method |
|---|
| System Availability | 99.9% uptime | Uptime monitoring |
| Mean Time to Recovery | < 5 minutes | Incident tracking |
| Data Backup Success | 100% completion rate | Backup verification |
| Transaction Success | 99.95% completion | Business metrics |
| Error Rate | < 0.1% of all requests | Error tracking |
| Capability | Target | Testing Method |
|---|
| Horizontal Scaling | 10x capacity increase | Load testing |
| Auto-scaling Response | < 2 minutes | Performance testing |
| Concurrent Users | 10,000 simultaneous | Stress testing |
| Database Scaling | Read replica lag < 1s | Database monitoring |
| Storage Scaling | Automatic expansion | Capacity testing |
| Control | Implementation | Validation |
|---|
| Authentication | Multi-factor authentication | Security audit |
| Authorization | Role-based access control | Penetration testing |
| Data Encryption | AES-256 at rest, TLS 1.3 in transit | Compliance scan |
| Input Validation | Comprehensive input sanitization | Code review |
| Audit Logging | Complete security event logging | Log analysis |
| Vulnerability Management | Regular security scanning | Automated scanning |
| Aspect | Target | Measurement |
|---|
| Code Coverage | > 80% unit test coverage | Automated testing |
| Code Quality | SonarQube rating A | Static analysis |
| Documentation Coverage | 100% API documentation | Documentation review |
| Deployment Time | < 15 minutes full deployment | CI/CD metrics |
| Configuration Management | Infrastructure as Code | Version control |
| Quality Attribute | Monitoring Tool | Alert Threshold |
|---|
| Performance | Application Insights | Response time > 2s |
| Availability | Azure Monitor | Service down > 1 minute |
| Error Rate | Structured logging | Error rate > 1% |
| Security | Security Center | Security event detected |
| Resource Usage | Container metrics | CPU/Memory > 80% |
