Sunday, 2 June 2013

Relationships

When you build abstractions, you'll discover that very few of your classes stand alone. Instead, most of them collaborate with others in a number of ways. Therefore, when you model a system, not only must you identify the things that form the vocabulary of your system, you must also model how these things stand in relation to one another.

In object-oriented modeling, there are three kinds of relationships that are especially important: dependencies, which represent using relationships among classes (including refinement, trace, and bind relationships); generalizations, which link generalized classes to their specializations; and associations, which represent structural relationships among objects. Each of these relationships provides a different way of combining your abstractions.

In the UML, the ways that things can connect to one another, either logically or physically, are modeled as relationships. In object-oriented modeling, there are three kinds of relationships that are most important: dependencies, generalizations, and associations.

Dependencies are using relationships. For example, pipes depend on the water heater to heat the water they carry.

Generalizations connect generalized classes to more-specialized ones in what is known as subclass/superclass or child/parent relationships. For example, a bay window is a kind of window with large, fixed panes; a patio window is a kind of window with panes that open side to side.

Associations are structural relationships among instances. For example, rooms consist of walls and other things; walls themselves may have embedded doors and windows; pipes may pass through walls.

The graphical representation for these three relationships is shown below:




A relationship is a connection among things. In object-oriented modeling, the three most important relationships are dependencies, generalizations, and associations. Graphically, a relationship is rendered as a path, with different kinds of lines used to distinguish the kinds of relationships.

Dependency


A dependency is a using relationship that states that a change in specification of one thing (for example, class Event) may affect another thing that uses it (for example, class Window), but not necessarily the reverse. Graphically, a dependency is rendered as a dashed directed line, directed to the thing being depended on. Use dependencies when you want to show one thing using another.

Consider the below example:



Generalization


A generalization is a relationship between a general thing (called the superclass or parent)and a more specific kind of that thing (called the subclass or child). Generalization is sometimes called an "is-a-kind-of" relationship: one thing (like the class BayWindow) is-a-kind-of a more general thing (for example, the class Window). Generalization means that objects of the child may be used anywhere the parent may appear, but not the reverse.

Graphically, generalization is rendered as a solid directed line with a large open arrowhead, pointing to the parent, as shown in the below figure. Use generalizations when you want to show parent/child relationships.



A class may have zero, one, or more parents. A class that has no parents and one or more children is called a root class or a base class. A class that has no children is called a leaf class. A class that has exactly one parent is said to use single inheritance; a class with more than one parent is said to use multiple inheritance.

Association


An association is a structural relationship that specifies that objects of one thing are connected to objects of another. Given an association connecting two classes, you can navigate from an object of one class to an object of the other class, and vice versa. It's quite legal to have both ends of an association circle back to the same class. This means that, given an object of the class, you can link to other objects of the same class. An association that connects exactly two classes is called a binary association. Although it's not as common, you can have associations that connect more than two classes; these are called n-ary associations. Graphically, an association is rendered as a solid line connecting the same or different classes. Use associations when you want to show structural relationships.

Beyond this basic form, there are four adornments that apply to associations:

Name:
An association can have a name, and you use that name to describe the nature of the relationship. So that there is no ambiguity about its meaning, you can give a direction to the name by providing a direction triangle that point in the direction you intend to read the name, as shown in below figure:



Role:
When a class participates in an association, it has a specific role that it plays in that relationship. You can explicitly name the role a class plays in an association. In the below figure, a Person playing the role of employee is associated with a Company playing the role of employer.



Multiplicity:
In many modeling situations, it's important for you to state how many objects may be connected across an instance of an association. This "how many" is called the multiplicity of an association's role, and is written as an expression that evaluates to a range of values or an explicit value as in below figure. You can show a multiplicity of exactly one (1), zero or one (0..1), many (0..*), or one or more (1..*). You can even state an exact number (for example, 3).



Aggregation:
Sometimes, you will want to model a "whole/part" relationship, in which one class represents a larger thing (the "whole"), which consists of smaller things (the "parts"). This kind of relationship is called aggregation, which represents a "has-a" relationship, meaning that an object of the whole has objects of the part. Aggregation is really just a special kind of association and is specified by adorning a plain association with an open diamond at the whole end, as shown in below figure:



Other Examples









Common Modeling Techniques


Modeling Simple Dependencies


The most common kind of dependency relationship is the connection between a class that only uses another class as a parameter to an operation.

To model this using relationship, 

  • Create a dependency pointing from the class with the operation to the class used as a parameter in the operation.

For example, below figure shows a set of classes drawn from a system that manages the assignment of students and instructors to courses in a university. This figure shows a dependency from CourseSchedule to Course, because Course is used in both the add and remove operations of CourseSchedule.



Modeling Single Inheritance


To model inheritance relationships,

  • Given a set of classes, look for responsibilities, attributes, and operations that are common to two or more classes.
  • Elevate these common responsibilities, attributes, and operations to a more general class. If necessary, create a new class to which you can assign these elements (but be careful about introducing too many levels).
  • Specify that the more-specific classes inherit from the more-general class by placing a generalization relationship that is drawn from each specialized class to its more-general parent.

Consider the following example:



Modeling Structural Relationships


When you model with dependencies or generalization relationships, you are modeling classes that represent different levels of importance or different levels of abstraction. Given a dependency between two classes, one class depends on another but the other class has no knowledge of the one. Given a generalization relationship between two classes, the child inherits from its parent but the parent has no specific knowledge of its children. In short, dependency and generalization relationships are one-sided.

When you model with association relationships, you are modeling classes that are peers of one another. Given an association between two classes, both rely on the other in some way, and you can navigate in either direction. Whereas dependency is a using relationship and generalization is an is-a-kind-of relationship, an association specifies a structural path across which objects of the classes interact.

To model structural relationships,

  • For each pair of classes, if you need to navigate from objects of one to objects of another, specify an association between the two. This is a data-driven view of associations.
  • For each pair of classes, if objects of one class need to interact with objects of the other class other than as parameters to an operation, specify an association between the two. This is more of a behavior-driven view of associations.
  • For each of these associations, specify a multiplicity (especially when the multiplicity is not *, which is the default), as well as role names (especially if it helps to explain the model).
  • If one of the classes in an association is structurally or organizationally a whole compared with the classes at the other end that look like parts, mark this as an aggregation by adorning the association at the end near the whole.

Below figure shows a set of classes drawn from an information system for a school. Starting at the bottom left of this diagram, you will find the classes named Student, Course, and Instructor. There's an association between Student and Course, specifying that students attend courses. Furthermore, every student may attend any number of courses and every course may have any number of students.



The relationships between School and the classes Student and Department are a bit different. Here you'll see aggregation relationships. A school has zero or more students, each student may be a registered member of one or more schools, a school has one or more departments, each department belongs to exactly one school. You could leave off the aggregation adornments and use plain associations, but by specifying that School is a whole and that Student and Department are some of its parts, you make clear which one is organizationally superior to the other.

You'll also see that there are two associations between Department and Instructor. One of these associations specifies that every instructor is assigned to one or more departments and that each department has one or more instructors. This is modeled as an aggregation because organizationally, departments are at a higher level in the school's structure than are instructors. The other association specifies that for every department, there is exactly one instructor who is the department chair. The way this model is specified, an instructor can be the chair of no more than one department and some instructors are not chairs of any department.

Difference between Association, Aggregation and Composition 

 

Association: The software firm may have external caterers serving food to the employees. These caterers are NOT PART OF the firm. However, they are ASSOCIATED with the firm. The caterers can exist even if our software firm is closed down. They may serve another firm! Thus the lifetime of caterers is not governed by the lifetime of the software firm. This is typical ASSOCIATION.

Aggregation: Consider a Car manufacturing unit. We can think of Car as a whole entity and Car Wheel as part of the Car. (at this point, it may look like composition..hold on) The wheel can be created weeks ahead of time, and it can sit in a warehouse before being placed on a car during assembly. In this example, the Wheel class's instance clearly lives independently of the Car class's instance. Thus, unlike composition, in aggregation, life cycles of the objects involved are not tightly coupled.

Composition: Imagine a software firm that is composed of different Business Units (or departments) like Storage BU, Networking BU. Automobile BU. The life time of these Business Units is governed by the lifetime of the organization. In other words, these Business Units cannot exist independently without the firm. This is COMPOSITION. (ie the firm is COMPOSED OF business units)

Source: http://stackoverflow.com/questions/731802/what-is-the-difference-between-composition-and-association-relationship

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