I was once asked in an interview 'What are the 3 main concepts of OOP?'.
I answered by saying that in my opinion there were 4 which are as follows:
Inheritance
Encapsulation
Abstraction
Polymorphism
Was I correct?
There are 3 requirements for a language to be object-oriented:
a language that supports only encapsulation (objects) is not object-oriented, but it is modular
a language that supports just encapsulation (objects) and message-passing (polymorphism) is not object-oriented, but it is object-based
a language that supports encapsulation (objects), message-passing (polymorphism), and inheritance (abstraction), is object-oriented
NOTE: Abstraction is a much more general concept; encapsulation et al are kinds of abstraction, just as a subroutine is a kind of abstraction. See Abstraction
I would say that abstraction is not solely an OOP concept, in that you can abstract to a large degree in many non-OOP languages.
The four pillars are as your correctly state
Encapsulation.
Abstraction
Inheritance
Polymorphism
Encapsulation deals with containing data, nothing more, nothing less.
Abstraction deals with data abstraction, i.e. is all this data really relevant. Think of a bank which contains information on name, age, address, eye colour, favourite tie, etc. Are eye colour and favourite tie really that relevant to the banks requirements? No. This is abstraction.
Inheritance deals with generalisation. Information which can apply to more than one thing. If something inherits from something then it can be said to be a more specific type of that thing. For example, Animal. A Dog is a type of Animal, so Dog inherits from Animal. Jack Russell is a type of Dog, so Jack Russell inherits from Dog.
Polymorphism deals with things having multiple forms, (poly - morph).
Two kinds in programming,
Late Binding,
You refer to something as it's general type and hence the compiler does not know what to bind at compile time. Think method Overriding.
Early Binding
You redefine a method using a different signature, i.e.
int add(int a, int b) vs double add(double a, double b)
These are essentially the basic principles of Object Orientation. There is a lot of overlap between these and so it is quite important to achieve a clear understanding of what each of these mean.
The problem with OOP is that nobody bothered to give a proper, concise, agreed-upon definition. Especially, I'd like to point out that all the aspects you mentioned can well be put into action without the use of object orientation!
Two type systems that do this are the Haskell type system, which, by consense, is generally not regarded to be object-oriented, and C++ templates with template subclassing. However, it could perhaps be argued that template subclassing emulates OOP.
Since template subclassing is not a widely known mechanism, let me give an example from the SeqAn library where it was invented.
String<Char> cstr = "This is a test";
String<Dna, Packed<> > dstr = "GATTACA";
cout << "length(" << cstr << ") = " << length(cstr) << endl;
cout << "length(" << dstr << ") = " << length(dstr) << endl;
Here, String<Char> and String<Dna, Packed<> > are inherited of the “abstract class” String<>. They encapsulate the concept of a string, using completely different methods. They share the polymorphic length method, implemented differently for both concrete types.
Those are the Four Horsemen as I know them. Maybe they mistakenly lump Inheritance and Polymorphism together.
Yes, those are the standard four.
Some people combine abstraction and encapsulation. I'm not sure why... they're not completely orthogonal, but maybe there's enough overlap? There's certainly overlap between inheritance and polymorphism, but it would be hard to combine them, in my mind.
Most people would consider that correct, my guess is if they were asking for three it would be Inheritance, Encapsulation and Polymorphism.
I personally find that those three concepts are the real "meat" if you will behind the definition of OOP. And most people take abstraction for granted and lum it in with the others, as really it could be considered part of any of the other three.
When I talk about OOP though I always mention the 4.
Probably the last three is what they were looking for - inheritance could be argued to be more of a mechanism to help achieve the others, which are higher level goals.
There is not really a correct answer anyway, especially if limited to 'top 3'.
That's correct.
If you had to provide only one, however, Abstraction it's got to be, for, one way or the other, the rest three is merely Abstraction in action.
3 main concepts in OOP:
Late binding
Concept reusing (not sure about this, anyway: re-using of concepts; avoiding the re-implementation of even the simplest concepts)
Abstraction
A proper answer to the question is: "Please clarify what you mean by Object-Oriented Programming." Oops, that would be telling, because the real question being asked is: "When I say OOP, what do I mean?"
There's no correct answer.
OOP
Abstraction (ignoring or hiding details that don't matter) - the situation in which a subject is very general and not based on real situations.
Encapsulation - Keeping properties and methods private onside the class, so they not accessible from outside the class.
! API - is essentially all the methods that are not private, not encapsulated.
Inheritance - Making all properties and methods of a certain class available to child class.
Polymorphism-gr: "many shapes" - a child class can overwrite a method it inherited from a parent class.
This [article][1] refers to the three pillars of good code. I found it to be an excellent article positing that encapsulation is the "first principle" of object-oriented design.
"First" principles are fundamental, underlying principles from which all else springs. The author uses the example of the Golden Rule. It's difficult to teach children all the finer points of civilized behavior but if you can get them to understand (and more importantly, practice) the Golden Rule of treating others as you would like to be treated, then they are more likely to "get" all the legal and moral standards we're held to on a daily basis.
So, it follows that if a developer understands encapsulation as a "First Principle" of object-oriented development, all of the other principles will follow in due course.
I don't do the author's content justice but I would definitely encourage people to read it.
For some reason I'm not showing the hyperlink as coming through so here's the URL: http://www.netobjectives.com/files/Encapsulation_First_Principle_Object_Oriented_Design.pdf
It could have been a trick question for the interview, but in Computer Science classes these days they teach the 4 Pillars of Object Oriented Programming.
It's generally believed that those are the main principles however they had very little to do with why OO was created.
One of the guiding principles was the direct manipulation metaphor. That is creating an object in the program that represented an object from the users mental model. Most of the motivation for creating OO was based in psychology not math/CS as is often believe to be the case these days.
If doubtfull of this take a look at some of the work by Trygve Renskauge. Father of MVC and DCI or James Coplien accomplish author and speaker.
So I'd say you likely gave them an answer close to what they expected whether it's correct depends on where you stand.
Related
Recently I was talking to a very experienced programmer (8+ years of experience) and he told me that "combining data with functions that work with them in a capsula" is a wrong term for encapsulation. He told me that that was what encapsulation allowed me to do, but not what encapsulation itself was. He told me that as soon as inheritance is not possible without encapsulation, encapsulation must be just a capsula creation (class or anything like that). But today I got interviewed by a less experienced programmer and he was so sure all those classic definitions on wikipedia were right he told me not to even think of passing the interview. So I tried to google all that stuff about encapsulation, and about inheritence not being possible without encapsulation, but didn't find anything. But I can't believe that experienced programmer was wrong, he convienced not only me, but other experienced programmers too. Maybe that correct definition is just something that is lost in the chunks of useless and unimportant info?
So please, give me answers on these two questions:
1) can inheritence be possible without encapsulation? (A class's Inheritence from a class)
2) If not, then can we consider declaring a class encapsulation? Because only after declaring a class we can inherit.
Well, I'm Sorry, but I fail to see the connection between encapsulation and inheritance.
Encapsulation is hiding your internal implementation behind a publicly visible API.
Basically, it's a separation between a type's actual implementation and what it exposes.
In a broad sense, one can look at even the human body and see encapsulation:
For example: You are breathing air in and out, that's your public API, but the internals of what your body is doing with this air are hidden away inside your respiratory system - your lunges passes oxygen to your blood and collects from it carbon dioxide in return - thus changing the mixture ratio of the gasses in the air you breath, but none of this is visible to the outside world.
Inheritance, in the OOP world, is the ability to take a specific object, and derive an even more specific object from it, while adding capabilities (and sometimes mutating existing capabilities via overriding).
For example: A Dog is a kind of Mammal which is a kind of Animal.
An Animal might contain methods such as Eat() and properties such as Weight and Age.
A Mammal might override the Eat() method to implement suckling (from it's mother's breast) as an infant, but depending on it's age eating solid foods.
A Dog might introduce another capability such as Bark.
All of this have nothing to do with encapsulation as desribed in the previous paragraph.
Inheritance is tightly related to another core principle of object oriented programming called Polymorphism - basically, the ability to reference a derived class using it's base class type - perhaps you (or the interviewer) are confusing the two?
However, today is the first time I've seen another definition of encapsulation (and I've been working with oop languages for about two decades now):
A language construct that facilitates the bundling of data with the methods (or other functions) operating on that data.
Under that
definition, encapsulation is the process of creating capsules - stand-alone code snippets that holds data and ways to interact with it - a.k.a types, classes, etc', and is somewhat related to inheritance - in order to inherit a type, that type first needs to be defined.
However, the way I see it, this definition is not enough to define encapsulation. It can be a part of the definition, but not a stand-alone definition of encapsulation.
Recently, i go back to read some parts of the "UML Reference Manual" book, second edition (obviously by: Booch, Rumbaugh, Jacobson).
(see: http://www.amazon.com/Unified-Modeling-Language-Reference-Manual/dp/020130998X)
Meanwhile, i have found these "strange" words in the first chapiter "UML overview" at "Complexity of UML" section:
There is far too much use of generalization at the expense of essential distinctions. The myth that inheritance is always good has been a curse of object orientation from earliest days.
I can't see how this sentence can be fully in line with Object Oriented Paradigm which states that inheritance is a fundamental principle.
Any idea/help please?
You seem to believe the two points are mutually exclusive. They are not. Inheritance is a fundamental and powerful principle of object-oriented programming, and it is overused.
It is overused typically by inexperienced developers who are so captivated with the idea of inheritance that they are more focused on the inheritance tree than solving the problem. They try to factor out as much code as possible to some parent base class so they can just reuse it throughout the tree, and as a result they have a brittle design.
One of the greatest evils of software engineering is tight coupling between classes. That's the sort of thing that causes you to have to work through the weekend after the customer asks for a simple change. Why? Because making a change in one class has an effect on another class, and fixing that class has an effect on another, and so on.
Well, there is no tighter coupling than inheritance.
When you factor too much out to the "top level," every derived class is coupled to it. And as you find more and more code you want to factor out to various levels, you eventually have these deep trees, and every change made at the top cascades throughout the tree. As a result, you start to have methods that return null or are empty. They're unnecessary for the class, but the inheritance contract demands they be there. This violates the Liskov Substitution Principle.
So use inheritance of course. But do it smartly. Favor delegation to inheritance if you have any doubt. And when you do use inheritance, make sure you aren't factoring commonalities to the top level (of the whole tree or a subtree) just to reuse common code, but rather do so because there is a commonality of behavior from top to bottom.
If your tree is more than two or three levels deep (and I think three is really pushing it), you are almost certainly setting yourself up for trouble.
Everything is good in moderation. Remember that the quote is not saying do not use it, or avoid, etc. Rather it is saying it is an overused principal when other OO abstractions or principals work better. Inheritance is powerful but it's coupling is tight.
Wisely or rather randomly the author of the UML book is saying pointing out this current truism that inheritance is often over-used and over-referenced. What about all the other principals and abstractions. I find that developers typically only hit the OO highlights (inheritance being one) and use that abstraction to excess.
For me in UML it is a good reminder that UML is OO generally, but it is not limited to Java or .Net OO features. Many languages only offer of the abstractions available across all languages. UML attempts to help you model and express many of them.
Remember the author only said 'too much use', not bad or incorrect. Also remember that maybe you are an expert developer who does not apply inheritance incorrectly.
If you have watched Going Deep shows of the Channel9 lately, one very frequently mentioned topic is mathematical duality in programming. TomasP has a good blog post about duality in object oriented programming.
This has been since Microsoft Research found that the observer design pattern is actually a mathematical dual of the iterator pattern. Since then they have used the duality concept in various ways.
My question is:
What mathematical dualities are there in programming?
Object oriented programming is a good start. The major GoF design patterns are: Decorator, State, Iterator, Facade, Strategy, Proxy, Factory Method, Adapter, Observer, Template Method, Composite, Singleton, Abstract Factory and Command. Here is a good object-graph-poster.
I'd say the primary duality in programming is the code-data duality, most clearly exposed in Lisp, but also clear in most contemporary languages which provide introspection functionality.
Not sure if it is entirely what you were looking for, as it's more FP than OO, but there is of course the Curry-Howard Correspondance (a.k.a. Curry-Howard Isomorphism) that "equates" programs with proofs and types with formulae.
You could argue that the duality of observer/iterator is (sort of, work with me here :-) ) a manifestation of the more general OO paradigms of inheritence and the alternate paradigm of delegation and aggregation. In the former, more specialized objects use base functionality (point up) to inherit general capabilities and in the latter, more generalized objects use delegation to access more specialized functionality (point down/out) - there is much academic discussion about the fact that oo designs can be expressed in either form, and since the variance between forms is (reasonably) rigourous and defined, I'd say it could be classified as a dual
See Treaty of Orlando 2 for more info
I think of objects and closures/anonymous functions as duals.
An object is a bunch of data, with a set of routines that are "attached" to it (i.e. its methods).
A closure, in the functional-programming sense of the word, is a (callable) reference to a function, with a set of data attached (in the form of its bound free variables).
What is a good gauge for knowing when a class is poorly designed or even necessary. In other words when to write a class and when no to.
SOLID might help if a class is poorly designed, but it won't help answer a question like "Is object-oriented programming the best approach for this problem?"
People have done a lot of very good work in programming for mathematics and science before object-oriented programming came into vogue. If your problem falls into those categories, perhaps object-oriented programming isn't for you.
Objects are state and behavior together; they tend to map onto problem domain objects one-to-one. If that's not true for your problem, perhaps object-oriented programming isn't for you.
If you don't know an object-oriented language well, perhaps object-oriented programming isn't for you.
If your organization doesn't know and can't support object-oriented solutions, perhaps object-oriented programming isn't for you.
A lot of people will say the "SOLID Principles" are a good guideline for class design.
There are a lot of articles/podcasts concerning the SOLID Principles, just do a quick search. Here's a good start:
http://butunclebob.com/ArticleS.UncleBob.PrinciplesOfOod
rather than list a bunch of don't-do-this rules for recognizing a poorly-designed class, it is easier - and more efficient - to list the few rules governing a good class design:
a class is a collection of related state and behavior
the behavior should use only the state and method parameters
if you think about the state as a relation (i.e. as the columns in a relational database table), the object ID (pointer) is the primary (synthetic) key and the state comprises the non-key attributes. Is the object in third normal form? If not, split it into two or more objects.
is the lifecycle of the object complete? In other words, do you have enough methods to take the object from creation through use and finally to destruction/disposal? If not, what methods (or states/transitions) are missing?
is all of the state used by at least one method? If not, does it provide descriptive information useful to a user of the object? If the answer to both of these is no, then get rid of the extraneous state.
if the problem you're trying to solve requires no state, you don't need an object.
On top of the SOLID principles, have a look at Code Smells. They were mentioned first (IIRC) in Martin Fowler's "Refactoring" book, which is an excellent read.
Code smells generally apply to OO and also procedural development to some degree, including things like "Shotgun Surgery" where edits are required all over the codebase to change one small thing, or "Switch Case Smell" where giant switch cases control the flow of your app.
The best thing about Refactoring (book) is that it recommends ways to fix code smells and takes a pragmatic view about them - they are just like real smells - you can live with some of them, but not with others.
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There are two schools of thought on how to best extend, enhance, and reuse code in an object-oriented system:
Inheritance: extend the functionality of a class by creating a subclass. Override superclass members in the subclasses to provide new functionality. Make methods abstract/virtual to force subclasses to "fill-in-the-blanks" when the superclass wants a particular interface but is agnostic about its implementation.
Aggregation: create new functionality by taking other classes and combining them into a new class. Attach an common interface to this new class for interoperability with other code.
What are the benefits, costs, and consequences of each? Are there other alternatives?
I see this debate come up on a regular basis, but I don't think it's been asked on
Stack Overflow yet (though there is some related discussion). There's also a surprising lack of good Google results for it.
It's not a matter of which is the best, but of when to use what.
In the 'normal' cases a simple question is enough to find out if we need inheritance or aggregation.
If The new class is more or less as the original class. Use inheritance. The new class is now a subclass of the original class.
If the new class must have the original class. Use aggregation. The new class has now the original class as a member.
However, there is a big gray area. So we need several other tricks.
If we have used inheritance (or we plan to use it) but we only use part of the interface, or we are forced to override a lot of functionality to keep the correlation logical. Then we have a big nasty smell that indicates that we had to use aggregation.
If we have used aggregation (or we plan to use it) but we find out we need to copy almost all of the functionality. Then we have a smell that points in the direction of inheritance.
To cut it short. We should use aggregation if part of the interface is not used or has to be changed to avoid an illogical situation. We only need to use inheritance, if we need almost all of the functionality without major changes. And when in doubt, use Aggregation.
An other possibility for, the case that we have an class that needs part of the functionality of the original class, is to split the original class in a root class and a sub class. And let the new class inherit from the root class. But you should take care with this, not to create an illogical separation.
Lets add an example. We have a class 'Dog' with methods: 'Eat', 'Walk', 'Bark', 'Play'.
class Dog
Eat;
Walk;
Bark;
Play;
end;
We now need a class 'Cat', that needs 'Eat', 'Walk', 'Purr', and 'Play'. So first try to extend it from a Dog.
class Cat is Dog
Purr;
end;
Looks, alright, but wait. This cat can Bark (Cat lovers will kill me for that). And a barking cat violates the principles of the universe. So we need to override the Bark method so that it does nothing.
class Cat is Dog
Purr;
Bark = null;
end;
Ok, this works, but it smells bad. So lets try an aggregation:
class Cat
has Dog;
Eat = Dog.Eat;
Walk = Dog.Walk;
Play = Dog.Play;
Purr;
end;
Ok, this is nice. This cat does not bark anymore, not even silent. But still it has an internal dog that wants out. So lets try solution number three:
class Pet
Eat;
Walk;
Play;
end;
class Dog is Pet
Bark;
end;
class Cat is Pet
Purr;
end;
This is much cleaner. No internal dogs. And cats and dogs are at the same level. We can even introduce other pets to extend the model. Unless it is a fish, or something that does not walk. In that case we again need to refactor. But that is something for an other time.
At the beginning of GOF they state
Favor object composition over class inheritance.
This is further discussed here
The difference is typically expressed as the difference between "is a" and "has a". Inheritance, the "is a" relationship, is summed up nicely in the Liskov Substitution Principle. Aggregation, the "has a" relationship, is just that - it shows that the aggregating object has one of the aggregated objects.
Further distinctions exist as well - private inheritance in C++ indicates a "is implemented in terms of" relationship, which can also be modeled by the aggregation of (non-exposed) member objects as well.
Here's my most common argument:
In any object-oriented system, there are two parts to any class:
Its interface: the "public face" of the object. This is the set of capabilities it announces to the rest of the world. In a lot of languages, the set is well defined into a "class". Usually these are the method signatures of the object, though it varies a bit by language.
Its implementation: the "behind the scenes" work that the object does to satisfy its interface and provide functionality. This is typically the code and member data of the object.
One of the fundamental principles of OOP is that the implementation is encapsulated (ie:hidden) within the class; the only thing that outsiders should see is the interface.
When a subclass inherits from a subclass, it typically inherits both the implementation and the interface. This, in turn, means that you're forced to accept both as constraints on your class.
With aggregation, you get to choose either implementation or interface, or both -- but you're not forced into either. The functionality of an object is left up to the object itself. It can defer to other objects as it likes, but it's ultimately responsible for itself. In my experience, this leads to a more flexible system: one that's easier to modify.
So, whenever I'm developing object-oriented software, I almost always prefer aggregation over inheritance.
I gave an answer to "Is a" vs "Has a" : which one is better?.
Basically I agree with other folks: use inheritance only if your derived class truly is the type you're extending, not merely because it contains the same data. Remember that inheritance means the subclass gains the methods as well as the data.
Does it make sense for your derived class to have all the methods of the superclass? Or do you just quietly promise yourself that those methods should be ignored in the derived class? Or do you find yourself overriding methods from the superclass, making them no-ops so no one calls them inadvertently? Or giving hints to your API doc generation tool to omit the method from the doc?
Those are strong clues that aggregation is the better choice in that case.
I see a lot of "is-a vs. has-a; they're conceptually different" responses on this and the related questions.
The one thing I've found in my experience is that trying to determine whether a relationship is "is-a" or "has-a" is bound to fail. Even if you can correctly make that determination for the objects now, changing requirements mean that you'll probably be wrong at some point in the future.
Another thing I've found is that it's very hard to convert from inheritance to aggregation once there's a lot of code written around an inheritance hierarchy. Just switching from a superclass to an interface means changing nearly every subclass in the system.
And, as I mentioned elsewhere in this post, aggregation tends to be less flexible than inheritance.
So, you have a perfect storm of arguments against inheritance whenever you have to choose one or the other:
Your choice will likely be the wrong one at some point
Changing that choice is difficult once you've made it.
Inheritance tends to be a worse choice as it's more constraining.
Thus, I tend to choose aggregation -- even when there appears to be a strong is-a relationship.
The question is normally phrased as Composition vs. Inheritance, and it has been asked here before.
I wanted to make this a comment on the original question, but 300 characters bites [;<).
I think we need to be careful. First, there are more flavors than the two rather specific examples made in the question.
Also, I suggest that it is valuable not to confuse the objective with the instrument. One wants to make sure that the chosen technique or methodology supports achievement of the primary objective, but I don't thing out-of-context which-technique-is-best discussion is very useful. It does help to know the pitfalls of the different approaches along with their clear sweet spots.
For example, what are you out to accomplish, what do you have available to start with, and what are the constraints?
Are you creating a component framework, even a special purpose one? Are interfaces separable from implementations in the programming system or is it accomplished by a practice using a different sort of technology? Can you separate the inheritance structure of interfaces (if any) from the inheritance structure of classes that implement them? Is it important to hide the class structure of an implementation from the code that relies on the interfaces the implementation delivers? Are there multiple implementations to be usable at the same time or is the variation more over-time as a consequence of maintenance and enhancememt? This and more needs to be considered before you fixate on a tool or a methodology.
Finally, is it that important to lock distinctions in the abstraction and how you think of it (as in is-a versus has-a) to different features of the OO technology? Perhaps so, if it keeps the conceptual structure consistent and manageable for you and others. But it is wise not to be enslaved by that and the contortions you might end up making. Maybe it is best to stand back a level and not be so rigid (but leave good narration so others can tell what's up). [I look for what makes a particular portion of a program explainable, but some times I go for elegance when there is a bigger win. Not always the best idea.]
I'm an interface purist, and I am drawn to the kinds of problems and approaches where interface purism is appropriate, whether building a Java framework or organizing some COM implementations. That doesn't make it appropriate for everything, not even close to everything, even though I swear by it. (I have a couple of projects that appear to provide serious counter-examples against interface purism, so it will be interesting to see how I manage to cope.)
I'll cover the where-these-might-apply part. Here's an example of both, in a game scenario. Suppose, there's a game which has different types of soldiers. Each soldier can have a knapsack which can hold different things.
Inheritance here?
There's a marine, green beret & a sniper. These are types of soldiers. So, there's a base class Soldier with Marine, Green Beret & Sniper as derived classes
Aggregation here?
The knapsack can contain grenades, guns (different types), knife, medikit, etc. A soldier can be equipped with any of these at any given point in time, plus he can also have a bulletproof vest which acts as armor when attacked and his injury decreases to a certain percentage. The soldier class contains an object of bulletproof vest class and the knapsack class which contains references to these items.
I think it's not an either/or debate. It's just that:
is-a (inheritance) relationships occur less often than has-a (composition) relationships.
Inheritance is harder to get right, even when it's appropriate to use it, so due diligence has to be taken because it can break encapsulation, encourage tight coupling by exposing implementation and so forth.
Both have their place, but inheritance is riskier.
Although of course it wouldn't make sense to have a class Shape 'having-a' Point and a Square classes. Here inheritance is due.
People tend to think about inheritance first when trying to design something extensible, that is what's wrong.
Favour happens when both candidate qualifies. A and B are options and you favour A. The reason is that composition offers more extension/flexiblity possiblities than generalization. This extension/flexiblity refers mostly to runtime/dynamic flexibility.
The benefit is not immediately visible. To see the benefit you need to wait for the next unexpected change request. So in most cases those sticked to generlalization fails when compared to those who embraced composition(except one obvious case mentioned later). Hence the rule. From a learning point of view if you can implement a dependency injection successfully then you should know which one to favour and when. The rule helps you in making a decision as well; if you are not sure then select composition.
Summary: Composition :The coupling is reduced by just having some smaller things you plug into something bigger, and the bigger object just calls the smaller object back. Generlization: From an API point of view defining that a method can be overridden is a stronger commitment than defining that a method can be called. (very few occassions when Generalization wins). And never forget that with composition you are using inheritance too, from a interface instead of a big class
Both approaches are used to solve different problems. You don't always need to aggregate over two or more classes when inheriting from one class.
Sometimes you do have to aggregate a single class because that class is sealed or has otherwise non-virtual members you need to intercept so you create a proxy layer that obviously isn't valid in terms of inheritance but so long as the class you are proxying has an interface you can subscribe to this can work out fairly well.