Domain-Driven Design as a Software Design Approach

Domain-Driven Design as a Software Design Approach

Table of Contents

πŸ” Definition β€” Domain-Driven Design (DDD) is a software design approach that focuses on modeling software to align with the business domain, using input from domain experts.

πŸ“š Origin β€” The concept was introduced by Eric Evans in his 2003 book ‘Domain-Driven Design: Tackling Complexity in the Heart of Software’.

πŸ—£οΈ Ubiquitous Language β€” DDD emphasizes the use of a common language shared by developers and domain experts to ensure clear communication and accurate representation of the domain.

πŸ“ Bounded Contexts β€” DDD divides a large system into bounded contexts, each with its own model, to manage complexity and maintain clarity.

🀝 Collaboration β€” It involves close collaboration between technical and domain experts to iteratively refine a conceptual model that addresses specific domain problems.

Key Concepts

🏒 Domain β€” Refers to the specific business area or problem that the software system aims to address, such as banking or healthcare.

πŸ—ΊοΈ Bounded Contexts β€” These are specific areas within a problem domain where a particular model or language is consistently used, helping to manage complexity.

πŸ”„ Domain Events β€” Significant business events that trigger changes within the domain, used to communicate changes between different parts of the domain.

πŸ”— Aggregates β€” Clusters of domain objects treated as a single unit for data consistency, with one root entity known as the Aggregate Root.

πŸ“š Ubiquitous Language β€” A shared vocabulary used consistently by all stakeholders to capture relevant domain knowledge and ensure clear communication.

Strategic Design

πŸ—ΊοΈ Context Mapping β€” Defines relationships and interactions between different bounded contexts, ensuring effective communication and integration.

πŸ”„ Shared Kernel β€” A strategic pattern identifying common areas between contexts, allowing collaboration while maintaining distinct models.

πŸ›‘οΈ Anti-Corruption Layer β€” Protects the system from external influences by acting as a translation layer between different models or languages.

πŸ“ Strategic Patterns β€” Guidelines for organizing software architecture in alignment with the problem domain, addressing high-level concerns.

πŸ” Focus β€” Strategic design focuses on defining the overall architecture and structure of a software system to align with the problem domain.

Tactical Design Patterns

πŸ” Entity β€” A domain object with a distinct identity and lifecycle, characterized by unique identifiers and mutable state.

πŸ’Ό Value Object β€” Represents a value that is conceptually unchangeable, lacking a unique identity, and used to describe attributes of entities.

πŸ”— Aggregate β€” A cluster of domain objects treated as a single unit for data consistency, with one entity as the aggregate root.

πŸ“¦ Repository β€” Separates data access logic from the domain model, providing a consistent interface for querying and storing domain objects.

πŸ”„ Domain Events β€” Represent significant business events that trigger transactions and changes within the domain.

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