TQPro System Architecture Document Structure¶

Overview¶

This document outlines the comprehensive architecture documentation structure for the TQPro system, designed for implementation in Sparx Enterprise Architect. The structure follows TOGAF as the governing framework with UML as the modeling language, organized into architectural views that address all key stakeholder concerns.

System Executive Summary¶

TQPro is a sophisticated, multi-module travel and tourism platform built on a flexible, plugin-based architecture. It integrates multiple third-party providers (Amadeus APIs, Rayna B2B, Odoo, NTS for visa services) through a unified abstraction layer (TQCOMMON), providing travel agents with comprehensive tools for itinerary planning, booking management, activity ticketing, and visa application processing.

1. ARCHITECTURE VISION & PRINCIPLES¶

1.1 Executive Summary¶

System overview and purpose
Key business drivers
Architecture scope and boundaries

1.2 Architecture Vision Statement¶

Target architecture state
Strategic alignment
Value proposition

1.3 Architecture Principles¶

1.3.1 Business Principles¶

Multi-supplier integration
Configuration-driven extensibility
Professional travel management focus
Scalable business model support

1.3.2 Data Principles¶

Canonical entity model
Multi-backend abstraction
Distributed caching strategy
Data consistency and integrity

1.3.3 Application Principles¶

Plugin-based architecture
Service factory pattern
Stateless service design
Loose coupling and high cohesion

1.3.4 Technology Principles¶

Cloud-ready deployment
Horizontal scalability
Comprehensive observability
Technology independence

1.4 Stakeholder Concerns Matrix¶

Stakeholder identification
Concerns and viewpoints
Architecture view mapping

1.5 Architecture Governance Model¶

Decision-making processes
Review and approval workflows
Change control mechanisms

2. BUSINESS ARCHITECTURE¶

2.1 Business Capability Model¶

2.1.1 Travel Product Management¶

Product catalog management
Pricing and availability
Supplier relationship management

2.1.2 Booking & Reservation Management¶

Search and discovery
Booking creation and confirmation
Modification and cancellation

2.1.3 Customer Relationship Management¶

Customer profiles
Communication management
Loyalty and preferences

2.1.4 Supplier Integration Management¶

API connectivity
Data synchronization
Performance monitoring

2.2 Business Process Models (BPMN)¶

2.2.1 End-to-End Booking Process¶

Customer inquiry
Search and selection
Booking confirmation
Payment processing
Fulfillment

2.2.2 Trip Planning & Quotation Process¶

Requirements gathering
Itinerary design
Cost calculation
Quote generation
Customer approval

2.2.3 Activity Ticketing Process¶

Activity search
Availability check
Option selection
Booking creation
Ticket delivery

2.2.4 Visa Application Process¶

Application initiation
Document collection
Requirement validation
Processing and tracking
Visa delivery

2.3 Actor & Use Case Models¶

2.3.1 Actor Hierarchy¶

Primary Actors
Travel Agents
Customers
System Administrators
Supporting Actors
External Systems (Amadeus, Rayna, NTS)
Payment Gateways
Notification Services

2.3.2 Use Case Packages¶

Trip Management Use Cases
Create trip project
Design itinerary
Calculate costs
Generate quotation
Flight Booking Use Cases
Search flights
Confirm pricing
Create booking
Retrieve PNR
Hotel Booking Use Cases
Search hotels
Check availability
Book rooms
Manage reservations
Activity Management Use Cases
Browse activities
Check availability
Book tickets
Process amendments
Visa Processing Use Cases
Submit application
Upload documents
Track status
Receive visa

2.4 Business Entity Model¶

2.4.1 Core Business Entities¶

Trip Project
Itinerary
Flight
Hotel
Activity
Visa Application
Customer
Invoice

2.4.2 Entity Relationships¶

Compositional relationships
Associative relationships
Dependency mappings

2.4.3 Entity Lifecycle States¶

Creation states
Processing states
Completion states
Cancellation flows

3. DATA ARCHITECTURE¶

3.1 Conceptual Data Model¶

3.1.1 Canonical Entity Model (TlinqEntity hierarchy)¶

Base entity structure
Common attributes
Inheritance patterns

3.1.2 Domain Entity Relationships¶

Travel domain entities
Booking domain entities
Financial domain entities
Customer domain entities

3.2 Logical Data Model¶

3.2.1 Entity-Relationship Diagrams¶

Core entity relationships
Reference data models
Transaction data models

3.2.2 Data Entity Specifications¶

Trip & Itinerary Entities
Trip Project (UUID, traveler count, dates, destinations)
Itinerary (project reference, status tracking)
Itinerary Options
Flight & Hotel Entities
Flight Option (flights, layovers, airline, cabin class, costs)
Accommodation (check-in/out, room type, meal plan, amenities)
Pricing details
Activity & Ticketing Entities
Activity products
Booking requests
Tickets and vouchers
Visa Application Entities
VisaApplication
VisaApplicant
VisaDelivery
DocumentRequirements

3.3 Physical Data Model¶

3.3.1 PostgreSQL Schema Design¶

Core schema
Main application tables
Indexes and constraints
Partitioning strategy
Rayna schema
Product catalog tables
Booking tables
Synchronization metadata
NTS schema
Visa application tables
Document storage references
Status tracking

3.3.2 Hazelcast Cache Structure¶

Cache regions
Eviction policies
Replication configuration

3.3.3 S3 Document Storage Model¶

Bucket structure
Naming conventions
Lifecycle policies

3.4 Data Transformation Architecture¶

3.4.1 Entity Transformer Patterns¶

DirectMapping
ArrayMapping
IndexMapping
NestedMapping
ModelLookup
MapConversion

3.4.2 Mapping Configurations¶

Field-level mappings
Type conversions
Validation rules

3.4.3 Factory-Specific Transformations¶

Amadeus transformations
Rayna transformations
NTS transformations
Odoo transformations

3.5 Data Flow Diagrams¶

3.5.1 Search-to-Booking Data Flow¶

Search request flow
Result transformation
Booking creation flow

3.5.2 Quote-to-Invoice Data Flow¶

Quote generation
Approval workflow
Invoice creation

3.5.3 External API Data Synchronization¶

Scheduled sync processes
Real-time data fetch
Cache update mechanisms

4. APPLICATION ARCHITECTURE¶

4.1 Application Component Model¶

4.1.1 Core Framework (TQCOMMON)¶

Entity Layer Components
TlinqEntity base classes
Entity factories
Entity validators
Service Layer Components
Service interfaces
Service factories
Service implementations
Configuration Components
XML parsers
Configuration loaders
Property managers
Cache Components
Cache managers
Cache providers
Eviction handlers

4.1.2 Business Modules¶

TQAMDS (Amadeus Integration)
Flight services
Hotel services
Reference data services
Session management
TripMaker Module
Project management
Itinerary builder
Cost calculator
PDF generator
Activity Ticketing Module
Product catalog
Availability checker
Booking manager
Ticket generator
Visa Application Module
Application manager
Document handler
Status tracker
Delivery manager

4.1.3 Plugin Architecture¶

Plugin Framework
Plugin interface
Plugin loader
Plugin registry
Plugin Lifecycle Management
Initialization
Configuration
Activation/Deactivation
Disposal
Plugin Registry
Discovery mechanism
Registration process
Dependency resolution

4.2 Component Interaction Diagrams¶

4.2.1 Component Dependencies¶

Direct dependencies
Transitive dependencies
Circular dependency prevention

4.2.2 Interface Specifications¶

Service interfaces
Data transfer objects
Event interfaces

4.2.3 Service Contracts¶

Input/output specifications
Error handling contracts
SLA definitions

4.3 Service Architecture (SOA)¶

4.3.1 Service Catalog¶

Entity Services (CRUD)
Create operations
Read operations
Update operations
Delete operations
Search Services
Flight search
Hotel search
Activity search
Booking Services
Booking creation
Booking confirmation
Booking modification
Integration Services
External API calls
Data transformation
Response handling

4.3.2 Service Orchestration¶

Workflow definitions
Service composition
Transaction management

4.3.3 Service Governance¶

Service versioning
Service lifecycle
Service monitoring

4.4 API Architecture¶

4.4.1 Internal APIs (REST)¶

Endpoint definitions
Request/response formats
Authentication mechanisms

4.4.2 External API Integrations¶

Amadeus API Integration
OAuth2 authentication
Flight Offers API
Hotel Search API
Reference Data API
Rayna B2B API Integration
Product synchronization
Availability checking
Booking submission
NTS API Integration
Visa requirements
Application submission
Status tracking
Odoo API Integration
Customer management
Invoice generation
Financial operations

4.4.3 API Gateway Pattern¶

Request routing
Rate limiting
Authentication/Authorization
Response caching

5. TECHNOLOGY ARCHITECTURE¶

5.1 Technology Stack¶

5.1.1 Platform Technologies¶

Runtime Environment
Java 17+ JVM
Spring Framework
Application servers
Database Platform
PostgreSQL 12+
Connection pooling
Query optimization
Caching Platform
Hazelcast IMDG
Redis (optional)
Local caches

5.1.2 Integration Technologies¶

API Technologies
REST/JSON
SOAP/XML
GraphQL (future)
Authentication
OAuth2
JWT tokens
Session management
Configuration
XML (JAXB)
YAML
Properties files

5.1.3 Development Technologies¶

Frameworks
Spring Boot
Spring Data JPA
Spring Security
Libraries
Hibernate ORM
GSON/Jackson
Apache Commons
Build Tools
Gradle
Maven
Docker

5.2 Deployment Architecture¶

5.2.1 Logical Deployment View¶

Application Tiers
Presentation tier
Business logic tier
Data access tier
Service Layers
API gateway layer
Service layer
Integration layer
Data Layers
Cache layer
Database layer
File storage layer

5.2.2 Physical Deployment View¶

Server Infrastructure
Application servers
Database servers
Cache servers
Network Topology
DMZ configuration
Internal network
External connectivity
Load Balancing
Application load balancers
Database load balancing
Geographic distribution
Clustering Configuration
Application clustering
Database clustering
Cache clustering

5.3 Infrastructure Architecture¶

5.3.1 Compute Infrastructure¶

Server specifications
Virtualization strategy
Container orchestration

5.3.2 Storage Infrastructure¶

Block storage
Object storage (S3)
Backup and recovery

5.3.3 Network Infrastructure¶

Network segmentation
Bandwidth requirements
CDN configuration

5.3.4 Security Infrastructure¶

Firewalls
IDS/IPS
SSL/TLS certificates
VPN access

6. INTEGRATION ARCHITECTURE¶

6.1 Integration Patterns¶

6.1.1 Service Factory Pattern¶

Factory interface design
Concrete factory implementations
Factory selection logic

6.1.2 Adapter Pattern¶

Protocol adaptation
Data format adaptation
Interface adaptation

6.1.3 Facade Pattern¶

EntityFacade design
Simplified interfaces
Complex operation hiding

6.1.4 Circuit Breaker Pattern¶

Failure detection
Circuit states
Recovery mechanisms

6.2 Integration Points¶

6.2.1 Amadeus Integration¶

Authentication Flow
OAuth2 token acquisition
Token refresh logic
Session management
API Endpoints
Flight search endpoints
Hotel search endpoints
Booking endpoints
Session Management
Session creation
Session timeout
Session cleanup

6.2.2 Rayna B2B Integration¶

Product Synchronization
Scheduled sync jobs
Incremental updates
Full refresh cycles
Booking Workflow
Availability checking
Booking creation
Confirmation handling

6.2.3 NTS Visa Integration¶

Application submission
Document upload
Status polling
Result retrieval

6.2.4 Odoo ERP Integration¶

Entity synchronization
Transaction posting
Report generation

6.3 Integration Sequence Diagrams¶

6.3.1 Flight Search & Booking¶

Search initiation
Amadeus API calls
Result transformation
Booking confirmation

6.3.2 Activity Booking Flow¶

Product selection
Availability check
Option configuration
Booking submission

6.3.3 Visa Application Flow¶

Application creation
Document submission
Processing tracking
Delivery confirmation

6.4 Message & Event Architecture¶

6.4.1 Request/Response Patterns¶

Synchronous messaging
Request timeout handling
Response validation

6.4.2 Asynchronous Processing¶

Message queuing
Background jobs
Batch processing

6.4.3 Event Notification¶

Event types
Event publishing
Event subscription

7. SECURITY ARCHITECTURE¶

7.1 Security Framework¶

7.1.1 Authentication Architecture (OAuth2)¶

Token generation
Token validation
Token refresh
Multi-factor authentication

7.1.2 Authorization Model (RBAC)¶

Role definitions
Permission mappings
Access control lists
Delegation mechanisms

7.1.3 Session Management¶

Session creation
Session validation
Session timeout
Session termination

7.2 Security Controls¶

7.2.1 Access Control Matrix¶

Resource permissions
Role assignments
User privileges
System accounts

7.2.2 Data Protection Controls¶

Encryption at rest
Encryption in transit
PII data handling
Data masking

7.2.3 API Security¶

API authentication
Rate limiting
Input validation
Output filtering

7.2.4 Audit & Logging¶

Audit trail requirements
Log aggregation
Security monitoring
Compliance reporting

7.3 Security Deployment View¶

7.3.1 Security Zones¶

Public zone
DMZ zone
Internal zone
Restricted zone

7.3.2 Network Security¶

Firewall rules
Network segmentation
VPN configuration
Intrusion detection

7.3.3 Encryption Architecture¶

TLS/SSL configuration
Key management
Certificate management
Cryptographic standards

8. PERFORMANCE & SCALABILITY ARCHITECTURE¶

8.1 Performance Requirements¶

8.1.1 Response Time Requirements¶

Flight search: <5 seconds (target), 15 seconds (max)
Hotel search: <5 seconds (target), 15 seconds (max)
Activity search: <3 seconds
API response: <2 seconds (p95)

8.1.2 Throughput Requirements¶

50 flight searches/second
30 hotel searches/second
100 activity searches/second
1,000 concurrent users

8.1.3 Concurrency Requirements¶

Connection pool sizing
Thread pool configuration
Queue management
Lock strategies

8.2 Caching Strategy¶

8.2.1 Distributed Cache Design¶

Cache topology
Replication strategy
Partitioning scheme
Consistency model

8.2.2 Cache Layers¶

Application cache
Database cache
CDN cache
Browser cache

8.2.3 Cache Invalidation Patterns¶

TTL-based invalidation
Event-based invalidation
Manual invalidation
Cascade invalidation

8.3 Scalability Design¶

8.3.1 Horizontal Scaling Strategy¶

Stateless services
Load distribution
Auto-scaling rules
Capacity planning

8.3.2 Load Distribution¶

Load balancing algorithms
Session affinity
Geographic distribution
Failover mechanisms

8.3.3 Database Connection Pooling¶

Pool sizing
Connection lifecycle
Pool monitoring
Leak detection

8.4 Performance Models¶

8.4.1 Load Models¶

User behavior patterns
Peak load scenarios
Growth projections
Seasonal variations

8.4.2 Capacity Planning¶

Resource requirements
Scaling thresholds
Cost optimization
Performance budgets

9. OBSERVABILITY & MONITORING ARCHITECTURE¶

9.1 Observability Framework¶

9.1.1 Metrics Collection Architecture¶

Metric types
Collection intervals
Aggregation methods
Storage strategy

9.1.2 Logging Architecture¶

Log levels
Log formats
Log aggregation
Log retention

9.1.3 Tracing Architecture¶

Distributed tracing
Trace sampling
Trace storage
Trace analysis

9.2 API Observability¶

9.2.1 Performance Metrics¶

Request timing (start, completion, duration)
Latency percentiles (p50, p95, p99)
Throughput (requests/second by endpoint)
Response status code distribution

9.2.2 Authorization Metrics¶

Authentication attempts
Success/failure rates
Development mode bypasses
Authorization rejections
Role-based access patterns

9.2.3 Error Tracking¶

Error classification (4xx, 5xx)
Error rate by endpoint
Error patterns and trends
Error grouping

9.3 Plugin Observability¶

9.3.1 External API Metrics¶

Request/response tracking
Service-specific metrics
Rate limit monitoring
Circuit breaker status

9.3.2 Database Operation Metrics¶

Query performance
Connection pool metrics
Transaction metrics
Cache hit rates

9.3.3 Service Health Metrics¶

Plugin lifecycle states
Dependency status
Resource utilization
Request processing metrics

9.4 Dashboards & Visualization¶

9.4.1 Operational Dashboards¶

System health overview
Real-time metrics
Alert status
Incident tracking

9.4.2 Business Dashboards¶

Transaction volumes
Revenue metrics
Customer metrics
Supplier performance

9.4.3 Technical Dashboards¶

API performance
Database performance
Cache performance
Infrastructure metrics

9.5 Alerting & Notification¶

9.5.1 Alert Rules¶

High API error rate (>0.1 errors/sec for 2 min)
Authorization rejection spikes
Slow API response (p95 latency >2 sec)
Service availability loss
Resource exhaustion

9.5.2 Escalation Procedures¶

Alert routing
Escalation levels
On-call schedules
Response times

9.5.3 Incident Response¶

Incident classification
Response procedures
Root cause analysis
Post-mortem process

10. QUALITY & TESTING ARCHITECTURE¶

10.1 Quality Attributes¶

10.1.1 Reliability (99.5% uptime)¶

Fault tolerance
Error recovery
Data integrity
Transaction consistency

10.1.2 Availability¶

Service availability
Planned maintenance
Disaster recovery
Backup strategies

10.1.3 Maintainability¶

Code modularity
Documentation quality
Change impact
Technical debt

10.1.4 Extensibility¶

Plugin architecture
Configuration flexibility
API versioning
Backward compatibility

10.2 Testing Strategy¶

10.2.1 Unit Testing Approach¶

Test coverage targets
Mock strategies
Test data management
Continuous testing

10.2.2 Integration Testing¶

API testing
Database testing
External service mocking
End-to-end scenarios

10.2.3 API Testing¶

Contract testing
Load testing
Security testing
Compatibility testing

10.2.4 Performance Testing¶

Load testing
Stress testing
Endurance testing
Spike testing

10.2.5 User Acceptance Testing¶

Test scenarios
Test data
Acceptance criteria
Sign-off process

10.3 Test Architecture¶

10.3.1 Test Environment Design¶

Environment topology
Data isolation
Service virtualization
Environment provisioning

10.3.2 Test Data Management¶

Test data generation
Data masking
Data refresh
Data cleanup

10.3.3 Test Automation Framework¶

Test framework selection
CI/CD integration
Test reporting
Test maintenance

11. CONFIGURATION MANAGEMENT¶

11.1 Configuration Architecture¶

11.1.1 XML Configuration Model¶

Schema definition
Validation rules
Default values
Override mechanisms

11.1.2 Configuration Schema¶

Plugin configurations
Entity definitions
Service configurations
System properties

11.1.3 Environment-Specific Configs¶

Development settings
Testing settings
Staging settings
Production settings

11.2 Configuration Elements¶

11.2.1 Plugin Configurations¶

Plugin registration
Plugin parameters
Plugin dependencies
Plugin lifecycle

11.2.2 Entity Mappings¶

Field mappings
Type conversions
Transformation rules
Validation rules

11.2.3 Service Definitions¶

Service endpoints
Service parameters
Service timeouts
Service retries

11.2.4 Database Connections¶

Connection strings
Pool configurations
Timeout settings
Transaction settings

11.3 Configuration Governance¶

11.3.1 Change Management¶

Change approval process
Configuration versioning
Rollback procedures
Audit trails

11.3.2 Version Control¶

Repository structure
Branching strategy
Merge procedures
Release tagging

11.3.3 Configuration Validation¶

Schema validation
Syntax checking
Dependency validation
Runtime validation

12. ARCHITECTURE DECISIONS & RATIONALE¶

12.1 Architecture Decision Records (ADRs)¶

12.1.1 Plugin Architecture Decision¶

Context: Need for extensible supplier integration
Decision: Plugin-based architecture with factory pattern
Rationale: Enables adding suppliers without core changes
Consequences: Increased complexity, better maintainability

12.1.2 Canonical Entity Model Decision¶

Context: Multiple backend systems with different models
Decision: Unified canonical entity model with transformers
Rationale: Simplifies client code, enables backend switching
Consequences: Transformation overhead, consistency benefits

12.1.3 Caching Strategy Decision¶

Context: Performance requirements with multiple data sources
Decision: Multi-layer caching with Hazelcast
Rationale: Reduces API calls, improves response times
Consequences: Cache invalidation complexity, better performance

12.1.4 Multi-Backend Support Decision¶

Context: Different suppliers for different services
Decision: Service factory pattern with configuration-driven selection
Rationale: Flexibility in supplier selection
Consequences: Configuration complexity, operational flexibility

12.2 Trade-off Analysis¶

12.2.1 Performance vs. Flexibility¶

Caching vs. real-time data
Compiled vs. interpreted configuration
Static vs. dynamic routing

12.2.2 Complexity vs. Maintainability¶

Abstraction layers vs. direct integration
Generic vs. specific implementations
Configuration vs. code

12.2.3 Cost vs. Scalability¶

Vertical vs. horizontal scaling
Licensed vs. open source
Managed vs. self-hosted

12.3 Risk Assessment¶

12.3.1 Technical Risks¶

Technology obsolescence
Performance bottlenecks
Integration failures
Data inconsistencies

12.3.2 Integration Risks¶

API changes
Service availability
Rate limiting
Data quality

12.3.3 Operational Risks¶

Configuration errors
Deployment failures
Monitoring gaps
Security vulnerabilities

13. MIGRATION & EVOLUTION¶

13.1 Migration Strategy¶

13.1.1 Data Migration Approach¶

Migration phases
Data mapping
Validation procedures
Rollback plans

13.1.2 Service Migration Path¶

Service identification
Migration sequence
Parallel running
Cutover procedures

13.1.3 Rollback Procedures¶

Rollback triggers
Data restoration
Service restoration
Communication plans

13.2 Evolution Roadmap¶

13.2.1 Short-term Enhancements¶

Performance optimizations
Bug fixes
Minor features
Security patches

13.2.2 Medium-term Capabilities¶

New supplier integrations
Enhanced caching
Improved observability
API enhancements

13.2.3 Long-term Vision¶

Microservices migration
Cloud-native architecture
AI/ML integration
Global expansion

13.3 Extensibility Guidelines¶

13.3.1 Adding New Plugins¶

Plugin development guide
Testing requirements
Deployment procedures
Documentation standards

13.3.2 Integrating New Suppliers¶

Integration patterns
API requirements
Data mapping
Testing procedures

13.3.3 Extending Entity Model¶

Entity design principles
Backward compatibility
Migration strategies
Testing requirements

14. APPENDICES¶

14.1 Glossary of Terms¶

Business terms
Technical terms
Acronyms
Abbreviations

14.2 Acronyms & Abbreviations¶

TQCOMMON - TourLinq Common Framework
TQAMDS - TourLinq Amadeus Integration
PNR - Passenger Name Record
RBAC - Role-Based Access Control
IMDG - In-Memory Data Grid

14.3 Reference Documentation¶

External API documentation
Framework documentation
Library documentation
Standards documentation

14.4 Interface Specifications¶

REST API specifications
SOAP service definitions
Message formats
Protocol definitions

14.5 Configuration Examples¶

Sample configurations
Best practices
Common patterns
Troubleshooting guides

14.6 UML Notation Guide¶

Diagram types
Symbol meanings
Relationship types
Modeling conventions

Modeling Recommendations for Sparx EA¶

Package Structure¶

Create packages aligned with the main sections above, organizing models hierarchically for easy navigation.

Diagram Types to Use¶

Use Case Diagrams (Business Architecture)
Actor identification
Use case relationships
System boundaries
Class Diagrams (Data & Application Architecture)
Entity relationships
Service interfaces
Component structures
Component Diagrams (Application Architecture)
Component dependencies
Interface definitions
Package structures
Deployment Diagrams (Technology Architecture)
Node topology
Artifact deployment
Communication paths
Sequence Diagrams (Integration flows)
Message exchanges
Timing constraints
Error scenarios
Activity Diagrams (Business processes)
Process flows
Decision points
Parallel activities
State Machine Diagrams (Entity lifecycles)
State transitions
Events and triggers
Guard conditions

Traceability Matrix¶

Establish traceability between: - Business requirements → Use cases → Components - Use cases → Sequence diagrams → Classes - Components → Deployment nodes - Quality attributes → Architecture decisions

Architecture Views (4+1 Model)¶

Logical View
Class diagrams
Component diagrams
Package diagrams
Process View
Activity diagrams
Sequence diagrams
Communication diagrams
Development View
Package diagrams
Component diagrams
Dependency diagrams
Physical View
Deployment diagrams
Network diagrams
Infrastructure diagrams
Scenarios
Use case diagrams
Use case specifications
User stories

Implementation Guidelines¶

Naming Conventions
Use consistent naming across all models
Follow UML standards
Include version numbers
Documentation
Document all diagrams
Include rationale for decisions
Maintain change history
Review Process
Peer review all models
Stakeholder validation
Regular updates
Tool Configuration
Configure Sparx EA templates
Set up model validation rules
Create custom stereotypes

This comprehensive structure provides complete coverage of all architectural aspects while maintaining clear separation of concerns and following established enterprise architecture best practices.