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Table of Contents
What It Means in Practice
How to Follow LSP
Refactor Instead of Force-Fit
A Common Pitfall
Home Java javaTutorial What is the Liskov substitution principle?

What is the Liskov substitution principle?

Jul 03, 2025 am 12:57 AM

Liskov Substitution Principle (LSP) states that subclasses should not alter the expected behavior of their parent classes. 1. LSP ensures that objects of a parent class can be replaced with objects of a subclass without breaking the program. 2. Violations occur when subclasses change method behavior unexpectedly, such as a Penguin subclass of Bird throwing an error when fly() is called. 3. To follow LSP, avoid unexpected overrides, use interfaces or abstract classes for contracts, and refactor using composition or better abstractions when needed. 4. A common pitfall is assuming "is-a" relationships always justify inheritance, leading to code that must check types to avoid errors. Proper design avoids surprises by ensuring substitutability maintains program integrity.

What is the Liskov substitution principle?

The Liskov Substitution Principle (LSP) is one of the five SOLID principles in object-oriented programming, and it's probably the one that trips people up the most when not fully understood. In simple terms, it says this: if S is a subtype of T, then objects of type T should be replaceable with objects of type S without breaking the program.

That sounds abstract, but it really means your subclasses or derived types shouldn’t force the calling code to behave differently — they should just work as expected.


What It Means in Practice

Let’s say you have a base class called Bird. You might have a method like fly() on it. Then you create a subclass called Sparrow, which implements fly() by flapping its wings. That works fine.

But then you add another subclass called Penguin. Penguins are birds, sure, but they can’t fly. If you try to call fly() on a Penguin, something breaks — either you throw an exception, return nothing, or do some weird workaround.

This violates LSP because if someone writes code expecting any Bird to be able to fly(), replacing it with a Penguin causes failure.

So the principle is basically saying: don’t lie about what your subclass can do.


How to Follow LSP

Here are a few practical ways to make sure you're respecting Liskov:

  • Don’t override methods in a way that changes behavior unexpectedly
  • Avoid throwing exceptions in subclasses for operations that shouldn’t fail in the parent
  • Use interfaces or abstract classes to define contracts, not assumptions

Sometimes, inheritance gets abused. Like when you create a Square class that inherits from Rectangle, assuming you can just set width and height separately. But if Square overrides the setter so changing one affects the other, then any code expecting Rectangle behavior will break.

That’s a classic LSP violation.


Refactor Instead of Force-Fit

When you run into these situations, consider refactoring:

  • Maybe inheritance isn’t the right tool here
  • Perhaps composition would work better
  • Or you need a different abstraction entirely

For example, instead of having Bird with fly(), maybe split into FlyingBird and NonFlyingBird interfaces or base classes. Then only the ones that actually fly implement that behavior. That way, anything depending on a FlyingBird knows it can safely call fly().

It’s about designing your types so that substituting them doesn’t cause surprises.


A Common Pitfall

A lot of developers fall into the trap of "is-a" thinking too rigidly. Just because a penguin is a bird doesn’t mean it should inherit all behaviors of a generic bird. Real-world hierarchies don't always map cleanly to code.

If you find yourself writing code like:

if isinstance(bird, Penguin):
    # skip flying

Then your design might already be violating LSP — because now the calling code has to know about specific subtypes to avoid errors.


Basically, keep your abstractions honest. If a subclass can't fulfill the contract of its parent without side effects or surprises, it's time to rethink the design.

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