Principles

Single Responsibility Principle

Single Responsibility Principle (SRP): A class should have one, and only one, reason to change. -- Robert C. Martin

If a class has only one responsibility, it needs to change only when there is a change to that responsibility.

📦 Consider a TextUi class that does parsing of the user commands as well as interacting with the user. That class needs to change when the formatting of the UI changes as well as when the syntax of the user command changes. Hence, such a class does not follow the SRP.

Interface Segregation Principle

Interface Segregation Principle (ISP): No client should be forced to depend on methods it does not use.

📦 The Payroll class should not depend on the AdminStaff class because it does not use the arrangeMeeting() method. Instead, it should depend on the SalariedStaff interface.

public class Payroll {
    //...    
    private void adjustSalaries(AdminStaff adminStaff){ //violates ISP
        //...
    }

}
public class Payroll {
    //...    
    private void adjustSalaries(SalariedStaff staff){ //does not violate ISP
        //...
    }
}

Liskov Substitution Principle

Liskov Substitution Principle (LSP): Derived classes must be substitutable for their base classes. -- proposed by Barbara Liskov

LSP sounds same as substitutability but it goes beyond substitutability; LSP implies that a subclass should not be more restrictive than the behavior specified by the superclass. As we know, Java has language support for substitutability. However, if LSP is not followed, substituting a subclass object for a superclass object can break the functionality of the code.

Design → Object Oriented Programming → Inheritance →

Substitutability

Every instance of a subclass is an instance of the superclass, but not vice-versa. As a result, inheritance allows substitutability : the ability to substitute a child class object where a parent class object is expected.

📦 an Academic is an instance of a Staff, but a Staff is not necessarily an instance of an Academic. i.e. wherever an object of the superclass is expected, it can be substituted by an object of any of its subclasses.

The following code is valid because an AcademicStaff object is substitutable as a Staff object.

Staff staff = new AcademicStaff (); // OK

But the following code is not valid  because staff is declared as a Staff type and therefore its value may or may not be of type AcademicStaff, which is the type expected by variable academicStaff.

Staff staff;
...
AcademicStaff academicStaff = staff; // Not OK

📦 Suppose the Payroll class depends on the adjustMySalary(int percent) method of the Staff class. Furthermore, the Staff class states that the adjustMySalary method will work for all positive percent values. Both Admin and Academic classes override the adjustMySalary method.

Now consider the following:

  • Admin#adjustMySalary method works for both negative and positive percent values.
  • Academic#adjustMySalary method works for percent values 1..100 only.

In the above scenario,

  • Admin class follows LSP because it fulfills Payroll’s expectation of Staff objects (i.e. it works for all positive values). Substituting Admin objects for Staff objects will not break the Payroll class functionality.
  • Academic class violates LSP because it will not work for percent values over 100 as expected by the Payroll class. Substituting Academic objects for Staff objects can potentially break the Payroll class functionality.

📦 The Rectangle#resize() can take any integers for height and width. This contract is violated by the subclass Square#resize() because it does not accept a height that is different from the width.

class Rectangle {
    ...
    /** sets the size to given height and width*/
    void resize(int height, int width){
        ...
    }
}


class Square extends Rectangle {
    
    @Override
    void resize(int height, int width){
        if (height != width) {
            //error
       }
    }
}

Now consider the following method that is written to work with the Rectangle class.

void makeSameSize(Rectangle original, Rectangle toResize){
    toResize.resize(original.getHeight(), original.getWidth());
}

This code will fail if it is called as maekSameSize(new Rectangle(12,8), new Square(4, 4)) That is, Square class is not substitutable for the Rectangle class.

Dependency Inversion Principle

The Dependency Inversion Principle states that,

  1. High-level modules should not depend on low-level modules. Both should depend on abstractions.
  2. Abstractions should not depend on details. Details should depend on abstractions.

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.

Open-Closed Principle

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. The Open-Close Principle aims to alleviate this problem.

Open-Closed Principle (OCP): 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. -- proposed by Bertrand Meyer

In object-oriented programming, OCP can be achieved in various ways. This often requires separating the specification (i.e. interface) of a module from its implementation.

📦 In the design given below, 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. That is, its behavior was extended without having to 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 >();  	

SOLID Principles

The five OOP principles given below are known as SOLID Principles (an acronym made up of the first letter of each principle):

Supplmentary → Principles →

Single Responsibility Principle

Single Responsibility Principle (SRP): A class should have one, and only one, reason to change. -- Robert C. Martin

If a class has only one responsibility, it needs to change only when there is a change to that responsibility.

📦 Consider a TextUi class that does parsing of the user commands as well as interacting with the user. That class needs to change when the formatting of the UI changes as well as when the syntax of the user command changes. Hence, such a class does not follow the SRP.

Supplmentary → Principles →

Open-Closed Principle

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. The Open-Close Principle aims to alleviate this problem.

Open-Closed Principle (OCP): 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. -- proposed by Bertrand Meyer

In object-oriented programming, OCP can be achieved in various ways. This often requires separating the specification (i.e. interface) of a module from its implementation.

📦 In the design given below, 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. That is, its behavior was extended without having to 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?

(a)

Explanation: Please refer the handout for the definition of OCP.

Supplmentary → Principles →

Liskov Substitution Principle

Liskov Substitution Principle (LSP): Derived classes must be substitutable for their base classes. -- proposed by Barbara Liskov

LSP sounds same as substitutability but it goes beyond substitutability; LSP implies that a subclass should not be more restrictive than the behavior specified by the superclass. As we know, Java has language support for substitutability. However, if LSP is not followed, substituting a subclass object for a superclass object can break the functionality of the code.

Design → Object Oriented Programming → Inheritance →

Substitutability

Every instance of a subclass is an instance of the superclass, but not vice-versa. As a result, inheritance allows substitutability : the ability to substitute a child class object where a parent class object is expected.

📦 an Academic is an instance of a Staff, but a Staff is not necessarily an instance of an Academic. i.e. wherever an object of the superclass is expected, it can be substituted by an object of any of its subclasses.

The following code is valid because an AcademicStaff object is substitutable as a Staff object.

Staff staff = new AcademicStaff (); // OK

But the following code is not valid  because staff is declared as a Staff type and therefore its value may or may not be of type AcademicStaff, which is the type expected by variable academicStaff.

Staff staff;
...
AcademicStaff academicStaff = staff; // Not OK

📦 Suppose the Payroll class depends on the adjustMySalary(int percent) method of the Staff class. Furthermore, the Staff class states that the adjustMySalary method will work for all positive percent values. Both Admin and Academic classes override the adjustMySalary method.

Now consider the following:

  • Admin#adjustMySalary method works for both negative and positive percent values.
  • Academic#adjustMySalary method works for percent values 1..100 only.

In the above scenario,

  • Admin class follows LSP because it fulfills Payroll’s expectation of Staff objects (i.e. it works for all positive values). Substituting Admin objects for Staff objects will not break the Payroll class functionality.
  • Academic class violates LSP because it will not work for percent values over 100 as expected by the Payroll class. Substituting Academic objects for Staff objects can potentially break the Payroll class functionality.

📦 The Rectangle#resize() can take any integers for height and width. This contract is violated by the subclass Square#resize() because it does not accept a height that is different from the width.

class Rectangle {
    ...
    /** sets the size to given height and width*/
    void resize(int height, int width){
        ...
    }
}


class Square extends Rectangle {
    
    @Override
    void resize(int height, int width){
        if (height != width) {
            //error
       }
    }
}

Now consider the following method that is written to work with the Rectangle class.

void makeSameSize(Rectangle original, Rectangle toResize){
    toResize.resize(original.getHeight(), original.getWidth());
}

This code will fail if it is called as maekSameSize(new Rectangle(12,8), new Square(4, 4)) That is, Square class is not substitutable for the Rectangle class.

If a subclass imposes more restrictive conditions than its parent class, it violates Liskov Substitution Principle.

True.

Explanation: If the subclass is more restrictive than the parent class, code that worked with the parent class may not work with the child class. Hence, the substitutability does not exist and LSP has been violated.

Supplmentary → Principles →

Interface Segregation Principle

Interface Segregation Principle (ISP): No client should be forced to depend on methods it does not use.

📦 The Payroll class should not depend on the AdminStaff class because it does not use the arrangeMeeting() method. Instead, it should depend on the SalariedStaff interface.

public class Payroll {
    //...    
    private void adjustSalaries(AdminStaff adminStaff){ //violates ISP
        //...
    }

}
public class Payroll {
    //...    
    private void adjustSalaries(SalariedStaff staff){ //does not violate ISP
        //...
    }
}

Supplmentary → Principles →

Dependency Inversion Principle

The Dependency Inversion Principle states that,

  1. High-level modules should not depend on low-level modules. Both should depend on abstractions.
  2. Abstractions should not depend on details. Details should depend on abstractions.

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.

  • a. It can complicate the design/implementation by introducing extra abstractions, but it has some benefits.
  • b. It is often used during testing, to replace dependencies with mocks.
  • c. It reduces dependencies in a design.
  • d. It advocates making higher level classes to depend on lower level classes.
  • a. It can complicate the design/implementation by introducing extra abstractions, but it has some benefits.
  • b. It is often used during testing, to replace dependencies with mocks.
  • c. It reduces dependencies in a design.
  • d. It advocates making higher level classes to depend on lower level classes.

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.

Separation of Concerns Principle

Separation of Concerns Principle (SoC): To achieve better modularity, separate the code into distinct sections, such that each section addresses a separate concern. -- Proposed by Edsger W. Dijkstra

A concern in this context is a set of information that affects the code of a computer program.

📦 Examples for concerns:

  • A specific feature, such as the code related to add employee feature
  • A specific aspect, such as the code related to persistence or security
  • A specific entity, such as the code related to the Employee entity

Applying SoC reduces functional overlaps among code sections and also limits the ripple effect when changes are introduced to a specific part of the system.

📦 If the code related to persistence is separated from the code related to security, a change to how the data are persisted will not need changes to how the security is implemented.

This principle can be applied at the class level, as well as on higher levels.

📦 The n-tier architecture utilizes this principle. Each layer in the architecture has a well-defined functionality that has no functional overlap with each other.

Design → Architecture → Styles → n-Tier Style

What

In the n-tier style, higher layers make use of services provided by lower layers. Lower layers are independent of higher layers. Other names: multi-layered, layered.

📦 Operating systems and network communication software often use n-tier style.

This principle should lead to higher cohesion and lower coupling.

Design → Design Fundamentals → Coupling →

What

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. High coupling (aka tight coupling or strong coupling) is discouraged due to the following disadvantages:

  • Maintenance is harder because a change in one module could cause changes in other modules coupled to it (i.e. a ripple effect).
  • Integration is harder because multiple components coupled with each other have to be integrated at the same time.
  • Testing and reuse of the module is harder due to its dependence on other modules.

📦 In the example below, design A appears to have a more coupling between the components than design B.

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.

Explain the link (if any) between regressions and coupling.

When the system is highly-coupled, the risk of regressions is higher too  e.g. when component A is modified, all components ‘coupled’ to component A risk ‘unintended behavioral changes’.

Discuss the relationship between coupling and testability.

Coupling decreases testability because if the SUT is coupled to many other components it becomes difficult to test the SUI in isolation of its dependencies.

Choose the correct statements.

  • a. As coupling increases, testability decreases.
  • b. As coupling increases, the risk of regression increases.
  • c. As coupling increases, the value of automated regression testing increases.
  • d. As coupling increases, integration becomes easier as everything is connected together.
  • e. As coupling increases, maintainability decreases.

(a)(b)(c)(d)(e)

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.

Design → Design Fundamentals → Cohesion →

What

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.

Higher cohesion is better. Disadvantages of low cohesion (aka weak cohesion):

  • Impedes the understandability of modules as it is difficult to express module functionalities at a higher level.
  • Lowers maintainability because a module can be modified due to unrelated causes  (reason: the module contains code unrelated to each other) or many many modules may need to be modified to achieve a small change in behavior  (reason: because the code realated to that change is not localized to a single module).
  • Lowers reusability of modules because they do not represent logical units of functionality.

Law of Demeter

Law of Demeter (LoD):

  • An object should have limited knowledge of another object.
  • An object should only interact with objects that are closely related to it.

Also known as

  • Don’t talk to strangers.
  • Principle of least knowledge

More concretely, a method m of an object O should invoke only the methods of the following kinds of objects:

  • The object O itself
  • Objects passed as parameters of m
  • Objects created/instantiated in m
  • Objects from the direct association of O

📦 The following code fragment violates LoD due to the reason: while b is a ‘friend’ of foo (because it receives it as a parameter), g is a ‘friend of a friend’ (which should be considered a ‘stranger’), and g.doSomething() is analogous to ‘talking to a stranger’.

void foo(Bar b) {
    Goo g = b.getGoo();
    g.doSomething();
}

LoD aims to reduce coupling by limiting the interaction to a closely related group of classes.

📦 In the example above, foo is already coupled to Bar. Upholding LoD avoids foo being coupled to Goo as well.

📦 An analogy for LoD can be drawn from Facebook. If Facebook followed LoD, you would not be allowed to see posts of friends of friends, unless they are your friends as well. If Jake is your friend and Adam is Jake’s friend, you should not be allowed to see Adam’s posts unless Adam is a friend of yours as well.

Brooks' Law

Brooks' Law: Adding people to a late project will make it later. -- Fred Brooks (author of The Mythical Man-Month)

Explanation: The additional communication overhead will outweigh the benefit of adding extra manpower, especially if done near to a deadline.

YAGNI Principle

YAGNI (You Aren't Gonna Need It!) Principle: Do not add code simply because ‘you might need it in the future’.

The principle says that some capability we presume our software needs in the future should not be built now because the chances are "you aren't gonna need it". The rationale is that we do not have perfect information about the future and therefore some of the extra work we do to fulfill a potential future need might go to waste when some of our predictions fail to materialize.

DRY Principle

DRY (Don't Repeat Yourself) Principle: Every piece of knowledge must have a single, unambiguous, authoritative representation within a system The Pragmatic Programmer, by Andy Hunt and Dave Thomas

This principle guards against duplication of information.

📦 The functionality implemented twice is a violation of the DRY principle even if the two implementations are different.

📦 The value a system-wide timeout being defined in multiple places is a violation of DRY.