Design Patterns Overview in Software Development

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Design patterns are reusable solutions to common problems in software design. They provide best practices for structuring code to improve flexibility, maintainability, and scalability. Below is an in-depth breakdown of key design patterns with practical implementations.

1. Chain of Responsibility

Passes a request along a chain of handlers until one processes it. Promotes loose coupling.
Example: Logging systems where different loggers handle errors, warnings, and info messages.

Python Implementation:

class Handler: 
def <strong>init</strong>(self, successor=None): 
self._successor = successor

def handle(self, request): 
if self._successor: 
self._successor.handle(request)

class ErrorHandler(Handler): 
def handle(self, request): 
if request == "error": 
print("Error logged") 
else: 
super().handle(request)

class WarningHandler(Handler): 
def handle(self, request): 
if request == "warning": 
print("Warning logged") 
else: 
super().handle(request)

chain = ErrorHandler(WarningHandler()) 
chain.handle("warning") 

2. Factory Method

Creates objects without specifying the exact class. Useful for runtime flexibility.
Example: GUI frameworks generating different buttons (Windows vs. Mac).

Java Implementation:

interface Button { void render(); }

class WindowsButton implements Button { 
public void render() { System.out.println("Windows Button"); } 
}

class MacButton implements Button { 
public void render() { System.out.println("Mac Button"); } 
}

abstract class Dialog { 
abstract Button createButton(); 
void render() { createButton().render(); } 
}

class WindowsDialog extends Dialog { 
Button createButton() { return new WindowsButton(); } 
} 

3. Abstract Factory

Creates families of related objects without specifying concrete classes.

Example: Cross-platform UI kits (Windows/Mac).

C++ Implementation:

class Checkbox { public: virtual void paint() = 0; };

class WinCheckbox : public Checkbox { 
void paint() { cout << "Windows Checkbox"; } 
};

class MacCheckbox : public Checkbox { 
void paint() { cout << "Mac Checkbox"; } 
};

class GUIFactory { 
public: 
virtual Checkbox createCheckbox() = 0; 
};

class WinFactory : public GUIFactory { 
Checkbox createCheckbox() { return new WinCheckbox(); } 
}; 

4. Builder Pattern

Constructs complex objects step-by-step. Ideal for objects with many configurations.

Example: Building a custom computer.

Python Example:

class Computer: 
def <strong>init</strong>(self): 
self.parts = []

def add(self, part): 
self.parts.append(part)

def display(self): 
print("Computer Parts:", ", ".join(self.parts))

class Builder: 
def build_cpu(self): pass 
def build_ram(self): pass

class GamingPCBuilder(Builder): 
def <strong>init</strong>(self): 
self.computer = Computer()

def build_cpu(self): 
self.computer.add("Intel i9")

def build_ram(self): 
self.computer.add("32GB DDR5") 

5. Prototype Pattern

Clones objects instead of creating new instances. Reduces overhead.

Example: Game character duplication.

JavaScript Implementation:

class Enemy { 
constructor(name, health) { 
this.name = name; 
this.health = health; 
}

clone() { 
return new Enemy(this.name, this.health); 
} 
}

const skeleton = new Enemy("Skeleton", 100); 
const clonedSkeleton = skeleton.clone(); 

6. Singleton Pattern

Ensures only one instance exists. Used for logging, configurations.

Python Thread-Safe Singleton:

from threading import Lock

class Singleton: 
_instance = None 
_lock = Lock()

def <strong>new</strong>(cls): 
if not cls._instance: 
with cls._lock: 
if not cls._instance: 
cls._instance = super().<strong>new</strong>(cls) 
return cls._instance 

7. Command Pattern

Encapsulates a request as an object. Supports undo operations.

Example: Text editor commands (copy, paste).

C Example:

interface ICommand { void Execute(); }

class CopyCommand : ICommand { 
public void Execute() { Console.WriteLine("Text Copied"); } 
}

class Invoker { 
private ICommand _command; 
public void SetCommand(ICommand cmd) { _command = cmd; } 
public void ExecuteCommand() { _command.Execute(); } 
} 

8. Iterator Pattern

Traverses collections without exposing internal structure.

Example: Custom list iteration.

Python Example:

class ListIterator: 
def <strong>init</strong>(self, collection): 
self._collection = collection 
self._index = 0

def <strong>next</strong>(self): 
if self._index < len(self._collection): 
item = self._collection[self._index] 
self._index += 1 
return item 
raise StopIteration

class CustomList: 
def <strong>init</strong>(self): 
self._items = []

def add(self, item): 
self._items.append(item)

def <strong>iter</strong>(self): 
return ListIterator(self._items) 

You Should Know:

  • Linux Command for Logging (Chain of Responsibility):
    tail -f /var/log/syslog | grep "error" 
    
  • Windows PowerShell (Factory Pattern):
    $button = New-Object -TypeName System.Windows.Forms.Button 
    
  • Git Command (Command Pattern):
    git commit -m "Implement Command Pattern" 
    

What Undercode Say:

Design patterns optimize software architecture by providing tested solutions. Mastering them enhances code quality and maintainability. Future trends may see AI-generated pattern implementations, but understanding core principles remains essential.

Expected Output:

A structured guide to design patterns with executable code snippets and real-world applications.

Relevant URLs:

References:

Reported By: Ashsau Design – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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