Inheritance is not the only way to share behavior across different implementations — it'a just the only way available in the traditional 1990s crop of static OOP languages like C++, Java and C#.
There are many other ways to share an implementation of a common feature:
1. Another comment already mentioned default method implementations in an interface (or a trait, since the example was in Rust). This technique is even available in Java (since Java 8), so it's as mainstream as it gets.
The main disadvantage is that you can have just one default implementation for the stop() method. With inheritance you could use hierarchies to create multiple shared implementations and choose which one your object should adopt by inheriting from it. You also cannot associate any member fields with the implementation. On the bright side, this technique still avoids all the issues with hierarchies and single and multiple inheritance.
2. Another technique is implementation delegation. This is basically just like using composition and manually forwarding all methods to the embedded implementer object, but the language has syntax sugar that does that for you. Kotlin is probably the most well-known language that supports this feature[1]. Object Pascal (at least in Delphi and Free Pascal) supports this feature as well[2].
This method is slightly more verbose than inheritance (you need to define a member and initialize it). But unlike inheritance, it doesn't requires forwarding the class's constructors, so in many cases you might even end up with less boilerplate than using inheritance (e.g. if you have multiple overloaded constructors you need to forward).
The only real disadvantage of this method is that you need to be careful with hierarchies. For instance, if you have a Storage interface (with the load() and store() methods) you can create EncryptedStorage interface that wraps another Storage implementation and delegates to it, but not before encrypting everything it sends to the storage (and decrypting the content on load() calls). You can also create a LimitedStorage wrapper than enforces size quotas, and then combine both LimitedStorage and EncryptedStorage. Unlike traditional class hierarchies (where you'd have to implement LimitedStorage, EncryptedStorage and LimitedEncryptedStorage), you've got a lot more flexibility: you don't have to reimplement every combination of storage and you can combine storages dynamically and freely. But let's assume you want to create ParanoidStorage, which stores two copies of every object, just to be safe. The easiest way to do that is to make ParanoidStorage.store() calls wrapped.store() twice. The thing you have to keep in mind, is that this doesn't work like inheritance: For instance, if you wrap your objects in the order EncryptedStorage(ParanoidStorage(LimitedStorage(mainStorage))), ParanoidStorage will call LimitedStorage.store(). This is unlike the inheritance chain EncryptedStorage <- ParanoidStorage <- LimitedStorage <- BaseStorage, where ParanoidStorage.store() will call EncryptedStorage.store(). In our case this is a good thing (we can avoid a stack overflow), but it's important to keep this difference in mind.
3. Dynamic languages almost always have at least one mechanism that you can use to automatically implement delegation. For instance, Python developers can use metaclasses or __getattr__[3] while Ruby developers can use method_missing or Forwaradable[4].
4. Some languages (most famously Ruby[5]) have the concept of mixins, which let you include code from other classes (or modules in Ruby) inside your classes without inheritance. Mixins are also supported in D (mixin templates). PHP has traits.
5. Rust supports (and actively promotes) implementing traits using procedural macros, especially derive macros[6]. This is by far the most complex but also the most powerful approach. You can use it to create a simple solution for generic delegation[7], but you can go far beyond that. Using derive macros to automatically implement traits like Debug, Eq, Ord is something you can find in every codebase, and some of the most popular crates like serde, clap and thiserror rely on heavily on derive.
To my mind, the challenge is not "sharing behavior"; it is "sharing behavior in a way that capture human-understandable semantics and make code easier to reason about instead of harder."
I suspect part of the problem of inheritance is that it is a way to share behavior that some humans, especially visual thinkers who understand VMTs, find easy to reason about.
In my experience verbal thinkers struggle with inheritance, because it requires jumping between levels of abstraction and they aren't thinking in terms of semantic units. I have found that books like Refactoring can help bridge the gap, but we have to identify it as a gap to be bridged and people have to want to learn this new skill.
And then on the flip side you have people who try to use it just as a way to de-dupe code, even when it doesn't reflect a meaningful semantic unit.
> In my experience verbal thinkers struggle with inheritance, because it requires jumping between levels of abstraction and they aren't thinking in terms of semantic units.
This is too dismissive of the criticism. The problem with inheritance is it makes control flow harder to understand and it spreads your logic all over a bunch of classes. Ironically, inheritance violates encapsulation - since a base class is usually no longer self contained. Implementation details bleed into derived classes.
The problem isn’t “verbal thinkers”. I can think in OO just fine. I’ve worked in 1M+ line of code Java projects, and submitted code to chrome - which last time I checked is a 30M loc C++ project. My problem with OO is that thinking about where any given bit of code is distracts me from what the code is trying to do. That makes me less productive. And I’ve seen that same problem affect lots of very smart devs, who get distracted building a taxonomy in code instead of solving actual problems.
It’s not a skills problem. Programming is theory building. OO seduces you into thinking the best theory for your software is a bunch of classes which inherit from each other, and which reference each other in some tangled web of dependencies. With enough effort, you can make it work. But it almost always takes more effort than straightforward dataflow style programming to model the same thing.
I do not believe "it makes the control flow harder to understand" is as universal as you claim.
If used badly any flow tool (including if-statements) can be be confusing. But "it can be complicated" doesn't mean we shouldn't use the tool when it is appropriate. One of the reasons I like Java Enums is because they provide much more structured guidance on what communicative inheritance looks like.
But we may also disagree on what "productive" means in the context of writing software.
The "taxonomy of code" you are dismissing is I believe what Fred Brooks describes as the "essential tasks" of programming: "fashioning of the complex conceptual structures that compose the abstract software entity".
It's not that I don't sympathize with your concern: being explicit and clear about "what the code is trying to do" is why TDD is popular among OOP programmers. But the step after "green" is "refactor", where the programmer stops focusing on what the code is trying to do and refines the taxonomy of the system that implements those tasks.
There are many other ways to share an implementation of a common feature:
1. Another comment already mentioned default method implementations in an interface (or a trait, since the example was in Rust). This technique is even available in Java (since Java 8), so it's as mainstream as it gets.
The main disadvantage is that you can have just one default implementation for the stop() method. With inheritance you could use hierarchies to create multiple shared implementations and choose which one your object should adopt by inheriting from it. You also cannot associate any member fields with the implementation. On the bright side, this technique still avoids all the issues with hierarchies and single and multiple inheritance.
2. Another technique is implementation delegation. This is basically just like using composition and manually forwarding all methods to the embedded implementer object, but the language has syntax sugar that does that for you. Kotlin is probably the most well-known language that supports this feature[1]. Object Pascal (at least in Delphi and Free Pascal) supports this feature as well[2].
This method is slightly more verbose than inheritance (you need to define a member and initialize it). But unlike inheritance, it doesn't requires forwarding the class's constructors, so in many cases you might even end up with less boilerplate than using inheritance (e.g. if you have multiple overloaded constructors you need to forward).
The only real disadvantage of this method is that you need to be careful with hierarchies. For instance, if you have a Storage interface (with the load() and store() methods) you can create EncryptedStorage interface that wraps another Storage implementation and delegates to it, but not before encrypting everything it sends to the storage (and decrypting the content on load() calls). You can also create a LimitedStorage wrapper than enforces size quotas, and then combine both LimitedStorage and EncryptedStorage. Unlike traditional class hierarchies (where you'd have to implement LimitedStorage, EncryptedStorage and LimitedEncryptedStorage), you've got a lot more flexibility: you don't have to reimplement every combination of storage and you can combine storages dynamically and freely. But let's assume you want to create ParanoidStorage, which stores two copies of every object, just to be safe. The easiest way to do that is to make ParanoidStorage.store() calls wrapped.store() twice. The thing you have to keep in mind, is that this doesn't work like inheritance: For instance, if you wrap your objects in the order EncryptedStorage(ParanoidStorage(LimitedStorage(mainStorage))), ParanoidStorage will call LimitedStorage.store(). This is unlike the inheritance chain EncryptedStorage <- ParanoidStorage <- LimitedStorage <- BaseStorage, where ParanoidStorage.store() will call EncryptedStorage.store(). In our case this is a good thing (we can avoid a stack overflow), but it's important to keep this difference in mind.
3. Dynamic languages almost always have at least one mechanism that you can use to automatically implement delegation. For instance, Python developers can use metaclasses or __getattr__[3] while Ruby developers can use method_missing or Forwaradable[4].
4. Some languages (most famously Ruby[5]) have the concept of mixins, which let you include code from other classes (or modules in Ruby) inside your classes without inheritance. Mixins are also supported in D (mixin templates). PHP has traits.
5. Rust supports (and actively promotes) implementing traits using procedural macros, especially derive macros[6]. This is by far the most complex but also the most powerful approach. You can use it to create a simple solution for generic delegation[7], but you can go far beyond that. Using derive macros to automatically implement traits like Debug, Eq, Ord is something you can find in every codebase, and some of the most popular crates like serde, clap and thiserror rely on heavily on derive.
[1] https://kotlinlang.org/docs/delegation.html
[2] https://www.freepascal.org/docs-html/ref/refse48.html
[3] https://erikscode.space/index.php/2020/08/01/delegate-and-de...
[4] https://blog.appsignal.com/2023/07/19/how-to-delegate-method...
[5] https://ruby-doc.com/docs/ProgrammingRuby/html/tut_modules.h...
[6] https://doc.rust-lang.org/reference/procedural-macros.html#d...
[7] https://crates.io/crates/ambassador