TL;DR: Don't use objects as data structures
Protocol is empty (with setters/getters).
If we ask a domain expert to describe an entity he/she would hardly tell it is 'a bunch of attributes'.
No mapping to real world entities.
Writer / Reader mismatch.
1) Find Responsibilities.
2) Protect your attributes.
3) Hide implementations.
class Window: def __init__(self): self.height = None self.width = None def getHeight(self): return self.height def setHeight(self, height): self.height = height def getWidth(self): return self.width def setWidth(self, width): self.width = width
class GraphicWindow: def area(self): # implementation return def open(self): # implementation return def isOpen(self): # implementation return
Sophisticated linters can automate detection. They should ignore setters and getters and count real behavior methods.
Also Known as
- Data Class
- OOP as Data
Avoid anemic models. Focus always on protocol instead of data. Behaviour is essential, data is accidental.
- Refactoring Guru
- Nude Models — Part I : Setters
- Nude Models — Part II : Getters
- How to Decouple a Legacy System
Object-oriented programming increases the value of these metrics by managing this complexity. The most effective tool available for dealing with complexity is abstraction. Many types of abstraction can be used, but encapsulation is the main form of abstraction by which complexity is managed in object-oriented programming.
Photo by Stacey Vandergriff on Unsplash
This article is part of the CodeSmell Series.