concept#Architecture#Software Engineering#Business Architecture
Domain Model
A domain model is an abstract representation of the key concepts and their relationships within a specific business domain.
A domain model helps to understand the structure and logic of business systems.
Maturity
Established
Cognitive loadMedium
Classification
- ComplexityMedium
- Impact areaTechnical
- Decision typeDesign
- Organizational maturityIntermediate
Technical context
Integrations
API IntegrationDatabase IntegrationCloud Services
Principles & goals
Focus on the DomainEngagement with ExpertiseIterative Development
Value stream stage
Discovery
Organizational level
Domain
Use cases & scenarios
Use cases
Scenarios
Compromises
Risks
- Misunderstandings in requirements
- Insufficient communication
- Technical debts may accumulate
Best practices
- Regular Review of Requirements
- Involve All Stakeholders
- Document All Changes
I/O & resources
Inputs
- Requirements
- User Feedback
- Technical Specifications
Outputs
- Abstract Model
- Entities Diagram
- Documentation
Description
A domain model helps to understand the structure and logic of business systems. It serves as a foundation for software development and enables a shared view of the key entities and their interactions.
✔Benefits
- Improved Communication among Stakeholders
- Better Traceability of Changes
- Increased Efficiency in Development
✖Limitations
- Can be complex for large domains
- Requires time for development
- Lack of flexibility in changes
Trade-offs
Metrics
- Development Time
The time required to develop the model.
- Feedback Cycles
The number of revisions based on user feedback.
- Maintenance Costs
The costs for maintaining and updating the model.
Examples & implementations
Domain Model for an Online Store
This model illustrates the relationships between products, orders, and customers.
Finance Management System
A comprehensive domain model for a finance management system.
Human Resources Management
Example of an HR management model that maps employee data and processes.
Implementation steps
1
Create a Draft
2
Gather Feedback from Stakeholders
3
Revise Model
⚠️ Technical debt & bottlenecks
Technical debt
- Outdated Technologies
- Lack of Testing
- Poor Documentation
Known bottlenecks
Unclear RequirementsInsufficient CommunicationTechnical Debts
Misuse examples
- Making assumptions without verification
- Omitting stakeholder feedback
- Neglecting changes in business level
Typical traps
- Waiting for Perfection
- Excluding Collaboration
- Not Tracking Changes
Required skills
Knowledge of UMLProgramming SkillsKnowledge in Database Design
Architectural drivers
ModularityAdaptabilityTechnological Trends
Constraints
- • Limited Resources
- • Time Constraints
- • Technical Issues