🏆 Can explain abstraction ![]()
Abstraction:
Most programs are written to solve complex problems involving large amounts of intricate details. It is impossible to deal with all these details at the same time. The guiding principle of abstraction stipulates that we capture only
details that are relevant to the current perspective or the task at hand. For example, within a certain software component, we might deal with a ‘user’ data type, while ignoring the details contained in the user data item. These details
have been ‘abstracted away’ as they do not affect the task of that software component. This is called data abstraction. On the other hand, control abstraction abstracts away details of the actual control flow to focus
on tasks at a simplified level. For example, print(“Hello”) is an abstraction of the actual output mechanism within the computer.
Abstraction can be applied repeatedly to obtain higher and higher levels of abstractions. For example, a File is a data item that is at a higher level than an array and an array is at a higher level than a bit.
Similarly, execute(Game) is at a higher level than print(Char) which is at a higher than an Assembly language instruction MOV.
🏆 Can explain coupling ![]()
Coupling is a measure of the degree of dependence between components, classes, methods, etc. Low coupling indicates that a component is less dependent on other components. In the example below, design A appears to have a more coupling between the components than design B.
Example:
Discuss the coupling levels of alternative designs x and y.
Overall coupling levels in x and y seem to be similar (neither has more dependencies than the other). (Note that the number of dependency links is not a definitive measure of the level of coupling. Some links may be stronger than the others.). However, in x, A is highly-coupled to the rest of the system while B, C, D, and E are standalone (do not depend on anything else). In y, no component is as highly-coupled as A of x. However, only D and E are standalone.
🏆 Can justify the need to reduce coupling ![]()
Highly coupled (also referred to as tightly coupled or strongly coupled) systems display the following disadvantages:
In the case of high-coupling (i.e. relatively high dependency), a change in one component may require changes in other coupled components. Therefore, we should strive to achieve a low-coupled design.
Explain the link (if any) between regression and coupling.
When the system is highly-coupled, the risk of regression is higher too. When component A is modified, all components ‘coupled’ to component A risk ‘unintended behavioral changes’.
Discuss the relationship between coupling and testability (testability is a measure of how easily a given component can be tested).
Coupling decreases testability as it is difficult to isolate highly-coupled objects.
Choose the least correct statement.
Explanation: High coupling means either more components require to be integrated at once in a big-bang fashion (increasing the risk of things going wrong) or more drivers and stubs are required when integrating incrementally.
🏆 Can reduce coupling ![]()
In general component A is coupled to B if a change to B could potentially require a change in A.
Some examples:
Which of these does not indicate a coupling between components A and B?
Explanation: Being written by the same developer does not imply a coupling.
🏆 Can identify types of coupling ![]()
Temporal coupling etc.
🏆 Can explain cohesion ![]()
Cohesion is a measure of how strongly-related and focused the various responsibilities of a component are. A highly-cohesive component keeps related functionalities together while keeping out all other unrelated things.
🏆 Can justify the need to increase cohesion ![]()
The following are some disadvantages of low cohesion (or “weak cohesion”).
One should strive for high cohesion to facilitate code maintenance and reuse.
🏆 Can increase cohesion ![]()
Cohesion can be present in many forms. For example,
The components in the following sequence diagram show low cohesion because user interactions are handled by many components. Its cohesion can be improved by moving all user interactions to the UI component.
Example:
Compare the cohesion of the following two versions of the EmailMessage class. Which one is more cohesive and why?
// version-1
class EmailMessage {
private String sendTo;
private String subject;
private String message;
public EmailMessage(String sendTo, String subject, String message) {
this.sendTo = sendTo;
this.subject = subject;
this.message = message;
}
public void sendMessage() {
// sends message using sendTo, subject and message
}
}
// version-2
class EmailMessage {
private String sendTo;
private String subject;
private String message;
private String username;
public EmailMessage(String sendTo, String subject, String message) {
this.sendTo = sendTo;
this.subject = subject;
this.message = message;
}
public void sendMessage() {
// sends message using sendTo, subject and message
}
public void login(String username, String password) {
this.username = username;
// code to login
}
}
Version 2 is less cohesive.
Explanation: Version 2 is handling functionality related to login, which is not directly related to the concept of ‘email message’ that the class is supposed to represent. On a related note, we can improve the cohesion of both versions by removing the sendMessage functionality. Although sending message is related to emails, this class is supposed to represent an email message, not an email server.
🏆 Can explain open-closed principle (OCP) ![]()
While it is possible to isolate the functionalities of a software system into modules, there is no way to remove interaction between modules. When modules interact with each other, coupling naturally increases. Consequently, it is harder to localize any changes to the software system. In 1988, Bertrand Meyer proposed a guiding principle to alleviate this problem. The principle, known as the open-closed principle, states: “A module should be open for extension but closed for modification”. That is, modules should be written so that they can be extended, without requiring them to be modified. In other words, changing what the modules do without changing the source code of the modules.
In object-oriented programming, these two seemingly opposing requirements can be achieved in various ways. This often requires separating the specification (interface) of a module from its implementation.
Example:
The behavior of the CommandQueue class can be altered by adding more concrete Command subclasses. For example, by including a Delete class alongside List, Sort, and Reset,
the CommandQueue can now perform delete commands without modifying its code at all. Indeed, its behavior was extended without having to open up and modify its code. Hence, it was open to extensions, but closed to modification.
The behavior of a Java generic class can be altered by passing it a different class as a parameter. In the code below, the ArrayList class behaves as a container of Students in one instance and as a container
of Admin objects in the other instance, without having to change its code. That is, the behavior of the ArrayList class is extended without modifying its code.
ArrayList students = new ArrayList< Student >();
ArrayList admins = new ArrayList< Admin >();
Which of these is closest to the meaning of the open-closed principle?
Explanation: Please refer the handout for the definition of OCP.
🏆 Can explain dependency inversion principle (DIP) ![]()
The Dependency Inversion Principle states that,
Example:
In design (a), the higher level class Payroll depends on the lower level class Employee, a violation of DIP. In design (b), both Payroll and Employee depends on the Payee interface (note
that inheritance is a dependency).
Design (b) is more flexible (and less coupled) because now the Payroll class need not change when the Employee class changes.
Which of these statements is true about the Dependency Inversion Principle.
Explanation: Replacing dependencies with mocks is Dependency Injection, not DIP. DIP does not reduce dependencies, rather, it changes the direction of dependencies. Yes, it can introduce extra abstractions but often the benefit can outweigh the extra complications.