I think many academic courses are stuck with old OOP theories from the 90s, while the rest of the industry have learned from its failures long time ago and moved on with more refined OOP practices. Turns out inheritance is one of the worst ways to achieve OOP.
That’s the problem, a lot of CS professors never worked in the industry or did anything outside academia so they never learned those lessons…or the last time they did work was back in the 90s lol.
Doesn’t help that most universities don’t seem to offer “software engineering” degrees and so everyone takes “computer science” even if they don’t want to be a computer scientist.
I think a lot of academic oop adds inheritance for the heck of it. Like they’re more interested in creating a tree of life for programming than they are in creating a maintainable understandable program.
@magic_lobster_party@MarsHardcore@AlmightySnoo can you explain for someone with training in academia why OOP is not so good, and what refined methods of OOP (or alternatives) are recommender? What resources should I look up to improve?
OOP can be good. The problem is that in Java 101 courses it’s often taught by heavily using inheritance.
I think inheritance is a bad representation of how stuff is actually built. Let’s say you want to build a house. With the inheritance way of thinking you’re imagining all possible types of buildings you can make. There’s houses, apartment buildings, warehouses, offices, mansions, bunkers etc… Then you imagine how all these buildings are related to each other and start to draw a hierarchy.
In the end you’re not really building a house. You’re just thinking about buildings as an abstract concept. You’re tasked to build a basic house, but you are dreaming about mansions instead. It’s just a curious pastime for computer science professors.
A more direct way of building houses is to think about all the parts it’s composed of and how they interact with each other. These are the objects in an OOP system. Ideally the objects should be as independent as possible.
This concept is called composition over inheritance.
For example, you don’t need to understand all the internals of the toilet to use it. The toilet doesn’t need to be aware of the entire plumbing system for it to work. The plumbing system shouldn’t be designed for one particular toilet either. You should be allowed to install a new improved toilet if you so wish. As long the toilet is compatible with your plumbing system. The fridge should still work even if there’s no toilet in the house.
If you do it right you should also be able to test the toilet individually without connecting it to a real house. Now you suddenly have a unit testable system.
If you ever need polymorphism, you should use interfaces.
I think many academic courses are stuck with old OOP theories from the 90s, while the rest of the industry have learned from its failures long time ago and moved on with more refined OOP practices. Turns out inheritance is one of the worst ways to achieve OOP.
That’s the problem, a lot of CS professors never worked in the industry or did anything outside academia so they never learned those lessons…or the last time they did work was back in the 90s lol.
Doesn’t help that most universities don’t seem to offer “software engineering” degrees and so everyone takes “computer science” even if they don’t want to be a computer scientist.
I think a lot of academic oop adds inheritance for the heck of it. Like they’re more interested in creating a tree of life for programming than they are in creating a maintainable understandable program.
@magic_lobster_party @MarsHardcore @AlmightySnoo can you explain for someone with training in academia why OOP is not so good, and what refined methods of OOP (or alternatives) are recommender? What resources should I look up to improve?
OOP can be good. The problem is that in Java 101 courses it’s often taught by heavily using inheritance.
I think inheritance is a bad representation of how stuff is actually built. Let’s say you want to build a house. With the inheritance way of thinking you’re imagining all possible types of buildings you can make. There’s houses, apartment buildings, warehouses, offices, mansions, bunkers etc… Then you imagine how all these buildings are related to each other and start to draw a hierarchy.
In the end you’re not really building a house. You’re just thinking about buildings as an abstract concept. You’re tasked to build a basic house, but you are dreaming about mansions instead. It’s just a curious pastime for computer science professors.
A more direct way of building houses is to think about all the parts it’s composed of and how they interact with each other. These are the objects in an OOP system. Ideally the objects should be as independent as possible.
This concept is called composition over inheritance.
For example, you don’t need to understand all the internals of the toilet to use it. The toilet doesn’t need to be aware of the entire plumbing system for it to work. The plumbing system shouldn’t be designed for one particular toilet either. You should be allowed to install a new improved toilet if you so wish. As long the toilet is compatible with your plumbing system. The fridge should still work even if there’s no toilet in the house.
If you do it right you should also be able to test the toilet individually without connecting it to a real house. Now you suddenly have a unit testable system.
If you ever need polymorphism, you should use interfaces.
This was a nice analogy, thanks for the write-up.