Basic Design Patterns in Software Engineering for Beginners


In software engineering, design patterns are general, reusable solutions to common problems that occur during software design and development. They are not specific implementations or code snippets but rather high-level templates that provide a structured way to solve certain types of problems. Design patterns help developers create software that is more modular, maintainable, and extensible.

Basic Design Patterns in Software Engineering for Beginners

Design patterns in software engineering are typically categorized into three main categories based on their purpose and intent:

Design patterns in software engineering are typically categorized into three main categories

#1 Creational Patterns:

  • Creational patterns deal with object creation mechanisms, trying to abstract the instantiation process, making it more flexible, and decoupled from the system. These patterns help in managing object creation complexities and provide different ways to create objects.
Creational Patterns

Examples: Singleton, Factory Method, Abstract Factor, Builder, and Prototype Pattern.

#2 Structural Patterns:

  • Structural patterns deal with object composition, focusing on how objects are composed to form larger structures and how their relationships are established. These patterns help in defining object structures and simplifying system design.

Example: Adapter, Composite, Decorator, Facade, and Bridge Pattern

#3 Behavioral Patterns:

  • Behavioral patterns focus on how objects interact and communicate with each other, defining patterns of communication and collaboration among objects. These patterns help in defining responsibilities between objects.

Example: Observer, Strategy, Command, State, and Chain of Responsibility Pattern

For beginners, it’s essential to understand some basic design patterns and their purposes. Here are a few fundamental design patterns:

Basic Design Patterns in Software Engineering for Beginners

Singleton Pattern:

  • Purpose: Ensures that a class has only one instance and provides a global point of access to it.
  • Use Case: When you need to restrict the instantiation of a class to one object, like a configuration manager or a logger.

Factory Method Pattern:

  • Purpose: Defines an interface for creating an object, but allows subclasses to alter the type of objects that will be created.
  • Use Case: When you want to delegate the responsibility of creating objects to subclasses, allowing for flexibility in object creation.

Builder Pattern:

  • Purpose: Separates the construction of a complex object from its representation, allowing the same construction process to create different representations.
  • Use Case: When you need to create an object with many optional components or configurations, like creating complex data structures or documents.

Observer Pattern:

  • Purpose: Defines a one-to-many dependency between objects, so that when one object changes state, all its dependents are notified and updated automatically.
  • Use Case: For implementing event handling systems, like GUI components reacting to user interactions or updating when data changes.

Decorator Pattern:

  • Purpose: Allows behavior to be added to individual objects, either statically or dynamically, without affecting the behavior of other objects from the same class.
  • Use Case: When you want to add responsibilities to objects in a flexible and reusable way, such as adding features to a text editor.

Strategy Pattern:

  • Purpose: Defines a family of algorithms, encapsulates each one and makes them interchangeable. It lets the algorithm vary independently from clients that use it.
  • Use Case: When you want to select an algorithm dynamically at runtime, such as choosing different sorting algorithms based on user preferences.

Adapter Pattern:

  • Purpose: Allows the interface of an existing class to be used as another interface. It is often used to make existing classes work with others without modifying their source code.
  • Use Case: When you have existing classes with incompatible interfaces but need them to work together, like adapting third-party libraries.

Composite Pattern:

  • Purpose: Composes objects into tree structures to represent part-whole hierarchies. Clients can treat individual objects and compositions of objects uniformly.
  • Use Case: When you need to work with objects in a hierarchical structure, such as representing graphics objects or organizing a menu system.

Template Method Pattern:

  • Purpose: Defines the skeleton of an algorithm in the superclass but lets subclasses override specific steps of the algorithm without changing its structure.
  • Use Case: When you want to define a common algorithm but allow subclasses to provide specific implementations for certain steps.

These are just a few basic design patterns to get you started. Understanding these patterns and when to apply them can significantly improve your ability to design and maintain software systems. As you gain more experience, you can explore more advanced patterns and best practices for software design.

In conclusion, understanding basic design patterns in software engineering is crucial for beginners looking to develop well-structured and maintainable software. These design patterns provide reusable solutions to common problems, offering a structured approach to software design.

Incorporating design patterns into your software development toolbox will enhance your ability to create efficient, maintainable, and adaptable software solutions. As a beginner, start by understanding these basic design patterns and gradually explore more advanced patterns and best practices as you gain experience in software engineering.

👋 .NET Application Collections
🚀 My Youtube Channel
💻 Github



R M Shahidul Islam Shahed

.NET Developer, Author at Codecanyon