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Explain the Concept of Object-Oriented Programming (OOP)
software-engineeringeasy

Explain the Concept of Object-Oriented Programming (OOP)

EasyHotMajor: software engineeringoracle, ibm

Concept

Object-Oriented Programming (OOP) is a fundamental programming paradigm that models real-world entities as objects, each combining data (attributes or fields) and behavior (methods or functions).
This approach enables developers to write modular, extensible, and maintainable software by emphasizing how entities interact rather than just how functions execute sequentially.

OOP is used in nearly every modern language — including Java, C#, Python, C++, and Swift — and it underpins frameworks like Spring Boot, .NET, and Django.


1. The Four Pillars of OOP

1.1 Encapsulation

Encapsulation is the practice of bundling data and operations on that data together. It hides internal implementation details from external access using access modifiers (e.g., private, protected, public).

Real-World Analogy:
A TV remote exposes buttons (methods) to change channels but hides its internal circuits (data and implementation).

1.2 Abstraction

Abstraction focuses on exposing only the necessary interface while hiding unnecessary complexity.
In code, abstraction is achieved through abstract classes or interfaces that define a contract without implementation.

Example:
A driver uses a car’s steering wheel and pedals without understanding the engine mechanics.

1.3 Inheritance

Inheritance allows a new class (child) to reuse, extend, or override behavior from an existing class (parent).
It reduces redundancy and promotes logical hierarchy.

Example:
A Vehicle base class may define shared properties like speed, while Car and Bike subclasses extend those features.

1.4 Polymorphism

Polymorphism enables a single interface to represent multiple behaviors.
It allows the same method to behave differently depending on the object calling it.

Example (safe for MDX):

class Shape:
    def area(self):
        pass

class Circle(Shape):
    def area(self):
        return 3.14 * r * r

class Square(Shape):
    def area(self):
        return s * s

In this example, the same area() method behaves differently for each shape type — that’s runtime polymorphism.


2. Practical Applications

  • UI Frameworks: Each on-screen widget (button, label, textbox) inherits from a base Widget class.
  • Game Engines: Entities like Player, Enemy, and NPC inherit shared movement and collision logic.
  • Enterprise Systems: Reuse of domain models (Customer, Order, Invoice) across multiple services.

Well-structured OOP leads to loose coupling and high cohesion, both essential for scalable architectures.


3. OOP vs Procedural Programming

AspectOOPProcedural
StructureBased on objectsBased on functions and data flow
Data AccessControlled via encapsulationDirect access to global data
ReusabilityHigh (through inheritance and polymorphism)Limited (requires duplication)
Example LanguagesJava, C#, PythonC, Fortran

Procedural programming focuses on how tasks are done; OOP focuses on who performs them.


4. Real-World Analogy — University System

Consider a University Management System:

  • Class: Student, Professor, Course represent objects.
  • Attributes: name, id, credits, department.
  • Methods: enroll(), grade(), scheduleExam() define behaviors.
  • Inheritance: GraduateStudent and UndergraduateStudent extend Student.
  • Polymorphism: Each student type calculates GPA differently.

This mirrors real-world entities in code, improving comprehension and collaboration.


5. Common Interview Deep-Dives

  • Explain composition vs inheritance (prefer composition for flexibility).
  • Discuss interface segregation — smaller, focused contracts over large general ones.
  • Understand SOLID principles and how OOP supports them.
  • Clarify the difference between compile-time and runtime polymorphism.

Interview Tip

When asked about OOP, do not just list the four pillars — show understanding through examples and trade-offs:

  • Use clear analogies (vehicles, shapes, or university models).
  • Contrast OOP with procedural logic.
  • Discuss how OOP improves testability and collaboration in large teams.
  • Mention design patterns (Factory, Singleton, Strategy) as real-world OOP extensions.

Summary Insight

OOP is not just about classes and objects — it’s about modeling real-world systems through modularity, abstraction, and reusability. Good OOP design turns complexity into organized collaboration between interacting entities.