Behavioral Design Patterns

The Template Method
Whenever you write a parent class where you leave one or more of the methods to be implemented by derived classes, you are in essence using the Template pattern. The Template pattern formalizes the idea of defining an algorithm in a class, but leaving some of the details to be implemented in subclasses. In other words, if your base class is an abstract class, as often happens in these design patterns, you are using a simple form of the Template pattern.
The Chain of Responsibility
The Chain of Responsibility pattern allows a number of classes to attempt to handle a request, without any of them knowing about the capabilities of the other classes. It provides a loose coupling between these classes; the only common link is the request that is passed between them. The request is passed along until one of the classes can handle it.
The Command Pattern
The Chain of Responsibility forwards requests along a chain of classes, but the Command pattern forwards a request only to a specific object. It encloses a request for a specific action inside an object and gives it a known public interface. It lets you give the client the ability to make requests without knowing anything about the actual action that will be performed, and allows you to change that action without affecting the client program in any way.
The Iterator Pattern
The Iterator is one of the simplest and most frequently used of the design patterns. The Iterator pattern allows you to move through a list or collection of data using a standard interface without having to know the details of the internal representations of that data. In addition you can also define special iterators that perform some special processing and return only specified elements of the data collection.
The Visitor Pattern
The Visitor pattern turns the tables on our object-oriented model and creates an external class to act on data in other classes. This is useful when you have a polymorphic operation that cannot reside in the class hierarchy for some reason.. For example, the operation wasn’t considered when the hierarchy was designed, or because it would clutter the interface of the classes unnecessarily.
The Mediator Pattern
When a program is made up of a number of classes, the logic and computation is divided logically among these classes. However, as more of these isolated classes are developed in a program, the problem of communication between these classes become more complex. The more each class needs to know about the methods of another class, the more tangled the class structure can become. This makes the program harder to read and harder to maintain. Further,it can become difficult to change the program, since any change may affect code in several other classes. The Mediator pattern addresses this problem by promoting looser coupling between these classes. Mediators accomplish this by being the only class that has detailed knowledge of the methods of other classes. Classes send inform the mediator when changes occur and the Mediator passes them on to any other classes that need to be informed.
The State Pattern
The State pattern is used when you want to have an object represent the state of your application, and switch application states by switching objects. For example, you could have an enclosing class switch between a number of related contained classes, and pass method calls on to the current contained class. Design Patterns suggests that the State pattern switches between internal classes in such a way that the enclosing object appears to change its class. In Java, at least, this is a bit of an exaggeration, but the actual purpose to which the classes are put can change significantly.  Many programmers have had the experience of creating a class that performs slightly different computations or displays different information based on the arguments passed into the class. This frequently leads to some sort of switch or if-else statements inside the class that determine which behavior to carry out. It is this inelegance that the State pattern seeks to replace.
The Strategy Pattern
The Strategy pattern is much like the State pattern in outline, but a little different in intent. The Strategy pattern consists of a number of related algorithms encapsulated in a driver class called the Context. Your client program can select one of these differing algorithms or in some cases the Context might select the best one for you. The intent is to make these algorithms interchangeable and provide a way to choose the most appropriate one. The difference between State and Strategy is that the user generally chooses which of several strategies to apply and that only one strategy at a time is likely to be instantiated and active within the Context class. By contrast, as we have seen, it is possible that all of the different States will be active at once and switching may occur frequently between them. In addition, Strategy encapsulates several algorithms that do more or less the same thing, while State encapsulates related classes that each do something somewhat different. Finally, the concept of transition between different states is completely missing in the Strategy pattern.
The Observer Pattern
The Observer pattern assumes that the object containing the data is separate from the objects that display the data, and that these display objects observe changes in that data.  When we implement the Observer pattern, we usually refer to the data as the Subject and each of the displays as Observers. Each of these observers registers its interest in the data by calling a public method in the Subject. Then, each observer has a known interface that the subject calls when the data change.

 

Hosted by www.Geocities.ws

1