Software Design Principles
Good software makes things work well over time.
Developers benefit from software design principles as follows:-
1) write clean,
2) robust & maintainable, and
3) scalable code
Developers achieve this while avoiding unnecessary complexity and costly errors.
This guide organizes key software design principles into relevant categories.
Quick Navigation
1. Architectural Principles
2. Concurrency & Performance
3. Security & Reliability
4. Testing & Maintainability
5. Emergent & Modern Practices
6. Philosophical Principles
7. General Object-Oriented Principles
8. Human-Centric & Language-Aware Principles
9. Patterns as Principles
10. Documentation & Communication
For a quick read, here's the summarized overview.
1. Architectural Design Principles
Architectural principles structure systems at a high level.
Further, they define how components interact and ensure maintainability, flexibility, and scalability.
Separation of Concerns (SoC)
Break a program into distinct features that overlap as little as possible. It improves modularity and clarity.
Single Responsibility Principle (SRP)
Each module or class should be responsible for a single part of the functionality and should encapsulate that part.
Don't Repeat Yourself (DRY)
Eliminate duplication by abstracting repeated logic or data.
Keep It Simple, Stupid (KISS)
Favor simplicity in design to reduce potential bugs and increase readability.
You Aren't Gonna Need It (YAGNI)
Don't implement something until it is necessary. It helps avoid unnecessary complexity.
Design for Testability
Structure code so it can be easily tested, which often leads to better overall design decisions.
Favor Composition Over Inheritance
Use composition to build complex behavior from simpler parts rather than relying heavily on inheritance hierarchies.
Encapsulation
Hide the internal state and require all interaction to be performed through an object's methods.
2. Object-Oriented Design (SOLID Principles)
The SOLID Principles make OOP designs more understandable, flexible, & maintainable.
Single Responsibility Principle (SRP)
A class should have one reason to change. It should only have one job.
Open/Closed Principle (OCP)
Software entities should be open for extension but closed for modification. This allows you to add new functionality without changing existing code.
Liskov Substitution Principle (LSP)
Objects of a superclass should be replaceable with objects of its subclasses without altering the correctness of the program.
Interface Segregation Principle (ISP)
No client is forced to depend on methods it doesn't use. Favor small, specific interfaces over large, general-purpose ones.
Dependency Inversion Principle (DIP)
High-level modules should not depend on low-level modules. Both should depend on abstractions.
3. Functional Programming Principles
Focus on immutability, pure functions, and statelessness to enable safer, more predictable programs.
Immutability
Once data is created, it cannot be changed. It prevents side effects.
Pure Functions
Functions that always return the same result given the same input and have no side effects.
First-Class Functions
Functions are assigned to variables, & passed as arguments. Or sometimes returned from other functions.
Function Composition
Combine smaller functions to build more complex operations.
Referential Transparency
Expressions can be replaced with their corresponding values without changing the program's behavior.
4. Concurrency and Parallelism Principles
Designing software to work efficiently and correctly in concurrent or parallel environments.
Shared Nothing Architecture
Components do not share state, helping to avoid race conditions.
Immutability
Also relevant here, as immutable objects can be safely shared across threads.
Message Passing
Communicate between threads or processes by passing messages rather than sharing state.
Avoid Global State
Global variables can be accessed from anywhere, leading to potential data corruption in concurrent environments.
5. Testing and Reliability Principles
These principles ensure software is verifiable, reliable, and easy to maintain.
Test-Driven Development (TDD)
Write tests before code. It helps define clear objectives and ensures that the code is testable.
Design by Contract
Define formal, precise, and verifiable interface specifications for software components.
Fail Fast
Let systems report errors as early as possible so problems are easier to trace.
Loose Coupling and High Cohesion
Highly cohesive modules do one thing well. Loosely coupled modules depend minimally on each other.
Defensive Programming
Anticipate and handle possible failures gracefully.
6. Maintainability and Readability Principles
Focus on creating code that's easy to read, understand, and extend over time.
Self-Documenting Code
Write code that explains itself through meaningful naming and structure.
Code Comments and Documentation
Use comments to explain why code exists, not what it does (when the code is already readable).
Consistent Naming Conventions
Use clear, predictable naming patterns for variables, functions, and files.
Refactoring
Regularly revise code to improve internal structure without changing behavior.
Avoid Premature Optimization
Optimization is only needed when performance constraints are present and required.
7. Modern Development Practices
They are at the core of today's software development landscape. As a result, they advocate for :~
1) Agility
2) Rapid iteration, &
3) Resilience
Continuous Integration/Continuous Deployment (CI/CD)
Automate testing and deployment to catch issues early and deploy often.
Infrastructure as Code (IaC)
Define infrastructure configurations in code for repeatability and version control.
12-Factor App Methodology
A set of best practices for building scalable, maintainable web apps.
Microservices Architecture
Create small, stand-alone services that interact via well-defined APIs.
Observability
Design systems with monitoring, logging, and tracing built-in for easier debugging and maintenance.
8. Security Principles
Embed security into the foundation of software design to minimize vulnerabilities.
Principle of Least Privilege
Each part of the system should operate using the minimum set of privileges necessary.
Fail Securely
When a system fails, it should do so without compromising security.
Avoid Security Through Obscurity
Do not rely solely on keeping implementation details secret for security.
Input Validation
Always validate input from users or external systems.
Secure Defaults
Systems should be secure by default, not by configuration.
9. API and Interface Design Principles
Ensure that external interfaces to your software are intuitive, stable, and well-structured.
Consistency
Follow consistent patterns across APIs.
Versioning
Don't break existing clients; introduce new versions for breaking changes.
Error Handling
Return informative and structured error messages.
Documentation First
Define and document APIs before implementation.
Least Astonishment
API behavior should match user expectations.
10. UX-Centric Principles for Devs
While not purely technical, these principles help bridge development and user experience.
Progressive Disclosure
Show only what's necessary at any point in time.
Graceful Degradation
Ensure the app remains functional even when some features fail.
Accessibility
Design for users with diverse abilities.
Responsive Design
Ensure applications work across different devices and screen sizes.
When understood and applied thoughtfully, they should help you write software that is robust, extensible, and delightful to maintain.
Don't aim to use them all at once—choose the right tools for the context and constraints of your project.
When to Apply These?
- For APIs: Postel's Law, CQS, Idempotence
- For Microservices: SoC, EDA, 12-Factor
- For Security: Least Privilege, Secure by Default
- For Legacy Code: Boy Scout Rule, KISS
What's Next? Start Applying These Principles Today!
Software design principles aren't just theory—they help you write better code every day.
Start with one principle at a time, refactor your existing projects, and see how your code improves.