Software design is the detailed planning stage that transforms the architectural vision of a system into concrete solutions for each component, module, or functionality.

It involves defining:

  • Internal structures (classes, objects, functions) and how they relate to one another.
  • Algorithms and data structures that fulfill business rules.
  • Interfaces and contracts (APIs, services) that enable communication between system parts and external systems.
  • Cross-cutting concerns such as security, performance, testability, and maintainability, ensuring the code is modular, cohesive, loosely coupled, and easy to evolve.

It is the phase that details how each part of the system will be built within the larger structure defined by the architecture, in order to satisfy functional and non-functional requirements in a clear, reusable, and sustainable way.

The main focus is to ensure that the final product is robust and efficient.

Relationship with Architecture

While architecture defines the “floor plan” (the macro structure), design focuses on internal details.

The design defines how components interact and how each individual piece will be implemented to function harmoniously within the whole.

Main Objectives

Design seeks to balance technical and business needs through:

  • Functional Requirements: Ensuring the software does what the user needs.
  • Non-Functional Requirements: Ensuring performance, security, availability, and usability.

Pillars of Good Design

For a system to remain healthy over the long term, the design must follow three principles:

  1. Clarity: The code and structure should be easy for other developers to understand.
  2. Reusability: Components should be modular to avoid rework and duplication.
  3. Sustainability: The ease of maintenance and evolution of the system over time, minimizing “technical debt.”

Key Characteristics

Software design possesses the following key characteristics:

Characteristic What it means Why it is important
Modularity Dividing the system into well-defined modules or components, each with a single responsibility. Facilitates understanding, reuse, and maintenance; allows teams to work on independent parts.
Cohesion Each module should have a single, strong purpose (high cohesion). Cohesive modules are more predictable and easier to test and evolve.
Low Coupling Reducing dependencies between modules (loose coupling). Changes in one module have little impact on others, increasing flexibility.
Abstraction Hiding implementation details and exposing only relevant interfaces. Allows different parts of the system to evolve independently and simplifies the use of external libraries.
Encapsulation Grouping related data and behaviors and restricting direct access to them. Protects internal invariants and prevents misuse of data structures.
Separation of Concerns (SRP) Each class or component should have only one reason to change. Reduces complexity and makes bugs easier to locate.
Open/Closed Principle (OCP) Software entities should be open for extension but closed for modification. Allows adding new features without changing existing code, reducing regression risks.
Liskov Substitution Principle (LSP) Subtypes must be substitutable for their base types without altering expected behavior. Ensures that inheritance and polymorphism function correctly.
Interface Segregation Principle (ISP) Clients should not be forced to depend on interfaces they do not use. Avoids “fat interfaces” and keeps contracts clear.
Dependency Inversion (DIP) High-level modules should not depend on low-level modules; both should depend on abstractions. Facilitates swapping implementations and improves testability (dependency injection).
Reusability Designing components that can be reused in different contexts. Saves development effort and ensures consistency.
Testability Structuring code so that it is easy to write unit, integration, and acceptance tests. Increases reliability and accelerates continuous delivery.
Readability Clear code, expressive names, useful comments, and logical organization. Facilitates maintenance by other developers and reduces errors.
Extensibility The possibility of adding new features with minimal effort. Allows software to evolve as new requirements emerge.
Performance Awareness Considering time and memory costs during the design phase (algorithms, suitable data structures). Avoids bottlenecks that would be difficult to fix after the system is in production.
Security by Design Incorporating access controls, input validation, encryption, and other security practices from the start. Reduces vulnerabilities and the cost of later fixes.
Scalability Planning how the system will handle increased load (horizontal/vertical). Ensures the software continues to meet business needs as it grows.
Portability Minimizing platform or technology-specific dependencies. Facilitates migrations and executions in different environments (cloud, on‑premise, devices).
Maintainability Structuring code so that future changes are simple and safe. Lowers the Total Cost of Ownership (TCO) over the software’s lifespan.

How to apply these characteristics in practice

  1. Initial Modeling – Use class diagrams, sequence diagrams, or C4 models to visualize modules, interfaces, and flows.
  2. Contract Definition – Create clear interfaces before implementing concrete logic.
  3. Choosing Design Patterns – Applying patterns like Factory, Strategy, Decorator, or Repository helps achieve cohesion, coupling, and extensibility.
  4. Code Reviews – Evaluate if changes preserve high cohesion and low coupling; verify adherence to SOLID principles.
  5. Automated Testing – Write unit tests as soon as each class is created; this forces a more decoupled and testable design.
  6. Continuous Refactoring – Whenever a principle violation is identified, refactor before moving forward.
  7. Light Documentation – Keep diagrams and READMEs updated, but avoid excessive documentation that becomes outdated.

By considering these characteristics during software design, you create solid foundations that facilitate architecture, implementation, and the system’s evolution over time.

Types of Design

“Software design” can be divided into different levels and areas of focus. Each type addresses a specific aspect of the system and helps ensure it meets both functional and non-functional requirements.

Below are the main types recognized in software engineering practice:

Design Type Scope / Coverage Key Artifacts / Activities
Architectural Design Macro view: division into subsystems, components, layers, and how they communicate. Component diagrams, deployment diagrams, C4 models, architectural pattern decisions (microservices, monolith, event-driven, etc.).
Component / Module Design Internal structure of each block identified in the architecture (packages, libraries, services). Class diagrams, package diagrams, definition of public interfaces, contract specification.
Data Design (Data Modeling) How information will be stored, organized, and accessed. ER models, domain class diagrams, database schemas (SQL/NoSQL), Object-Relational Mapping (ORM).
User Interface Design (UI/UX) Visual appearance and user interaction with the system. Wireframes, mockups, interactive prototypes, style guides, navigation flows.
Algorithm / Business Logic Design Specific solutions for computational problems and business rules. Pseudocode, flowcharts, decision tables, algorithm descriptions (complexity, choice of data structures).
Security Design Strategies to protect the system against threats. Threat modeling, trust diagrams, access control policies, encryption, and key management.
Performance / Scalability Design How the system will meet speed and load requirements. Cache diagrams, partitioning/sharding strategies, choice of asynchronous protocols, preliminary benchmarks.
Integration / API Design Definition of contact points between internal and external systems. API contracts (OpenAPI/Swagger), sequence diagrams, integration patterns (REST, gRPC, events).
Testability Design Structure that facilitates the creation of automated tests. Test strategy (unit, integration, contract), dependency injection, mocks/stubs, planned code coverage.
Deployment / Operations Design (DevOps) How software will be delivered, configured, and monitored in production. CI/CD pipelines, Infrastructure as Code diagrams (Terraform, CloudFormation), rollout strategies (blue-green, canary).
Internationalization / Localization Design Preparing software for multiple languages and regions. Resource files, date/time/currency formatting standards, separation of text from logic.

How these types relate

  1. Natural Hierarchy – Architectural design defines the system’s “skeleton”; component, data, and API designs are built upon it.
  2. Iterativity – Often, when detailing one level (e.g., UI), necessary adjustments to the architecture or performance requirements emerge.
  3. Cross-cutting concerns – Security, performance, testability, and observability permeate all types of design and must be considered at every layer.

When to focus on each type

Situation Priority Design Type(s)
Start of a large project Architecture, Components, Data, APIs
Developing a new UI feature UI/UX, Components, Testability
High availability requirements Architecture, Performance/Scalability, Deployment
Regulatory compliance needs (e.g., GDPR) Security, Data, Architecture
Integration with external partners APIs, Security, Integration, Deployment
Refactoring legacy code Components, Testability, Security, Performance

Software design covers various types, from the macro architectural view to specific details like algorithms, UI, and deployment strategies. Each type generates its own artifacts and serves clear objectives, but all must be aligned to produce a coherent, secure, scalable, and maintainable system.

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