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Week 4 [Fri, Sep 1st] - Topics

Detailed Table of Contents



Guidance for the item(s) below:

Now that you know the basics about classes and objects, let's move to the next level. The sections below explain the third core concept of OOP (called inheritance) and how to use that in Java.

  1. abstraction
  2. encapsulation
  3. inheritance
  4. ...

[W4.1] OOP + Java: Inheritance

W4.1a

Paradigms → OOP → Inheritance → What

Can explain the meaning of inheritance

The OOP concept Inheritance allows you to define a new class based on an existing class.

For example, you can use inheritance to define an EvaluationReport class based on an existing Report class so that the EvaluationReport class does not have to duplicate data/behaviors that are already implemented in the Report class. The EvaluationReport can inherit the wordCount attribute and the print() method from the base class Report.

  • Other names for Base class: Parent class, Superclass
  • Other names for Derived class: Child class, Subclass, Extended class

A superclass is said to be more general than the subclass. Conversely, a subclass is said to be more specialized than the superclass.

Applying inheritance on a group of similar classes can result in the common parts among classes being extracted into more general classes.

Man and Woman behave the same way for certain things. However, the two classes cannot be simply replaced with a more general class Person because of the need to distinguish between Man and Woman for certain other things. A solution is to add the Person class as a superclass (to contain the code common to men and women) and let Man and Woman inherit from Person class.

Inheritance implies the derived class can be considered as a sub-type of the base class (and the base class is a super-type of the derived class), resulting in an is a relationship.

Inheritance does not necessarily mean a sub-type relationship exists. However, the two often go hand-in-hand. For simplicity, at this point let us assume inheritance implies a sub-type relationship.

To continue the previous example,

  • Woman is a Person
  • Man is a Person

Inheritance relationships through a chain of classes can result in inheritance hierarchies (aka inheritance trees).

Two inheritance hierarchies/trees are given below. Note that the triangle points to the parent class. Observe how the Parrot is a Bird as well as it is an Animal.

Multiple Inheritance is when a class inherits directly from multiple classes. Multiple inheritance among classes is allowed in some languages (e.g., Python, C++) but not in other languages (e.g., Java, C#).

The Honey class inherits from the Food class and the Medicine class because honey can be consumed as a food as well as a medicine (in some oriental medicine practices). Similarly, a Car is a Vehicle, an Asset and a Liability.


Exercises:

Which statements are correct?



W4.1b

Paradigms → OOP → Inheritance → Overloading

Can explain method overloading

Method overloading is when there are multiple methods with the same name but different type signatures. Overloading is used to indicate that multiple operations do similar things but take different parameters.

Type signature: The type signature of an operation is the type sequence of the parameters. The return type and parameter names are not part of the type signature. However, the parameter order is significant.

Example:

Method Type Signature
int add(int X, int Y) (int, int)
void add(int A, int B) (int, int)
void m(int X, double Y) (int, double)
void m(double X, int Y) (double, int)

In the case below, the calculate method is overloaded because the two methods have the same name but different type signatures (String) and (int).

  • calculate(String): void
  • calculate(int): void

W4.1c

Paradigms → OOP → Inheritance → Overriding

Can explain method overriding

Method overriding is when a sub-class changes the behavior inherited from the parent class by re-implementing the method. Overridden methods have the same name, same type signature, and same return type.

Consider the following case of EvaluationReport class inheriting the Report class:

Report methods EvaluationReport methods Overrides?
print() print() Yes
write(String) write(String) Yes
read():String read(int):String No. Reason: the two methods have different signatures; This is a case of overloading (rather than overriding).

Exercises



W4.1d

C++ to Java → Inheritance → Inheritance (Basics)

Can use basic inheritance

Given below is an extract from the -- Java Tutorial, with slight adaptations.

A class that is derived from another class is called a subclass (also a derived class, extended class, or child class). The class from which the subclass is derived is called a superclass (also a base class or a parent class).

A subclass inherits all the members (fields, methods, and nested classes) from its superclass. Constructors are not members, so they are not inherited by subclasses, but the constructor of the superclass can be invoked from the subclass.

Every class has one and only one direct superclass (single inheritance), except the Object class, which has no superclass, . In the absence of any other explicit superclass, every class is implicitly a subclass of Object. Classes can be derived from classes that are derived from classes that are derived from classes, and so on, and ultimately derived from the topmost class, Object. Such a class is said to be descended from all the classes in the inheritance chain stretching back to Object. Java does not support multiple inheritance among classes.

The java.lang.Object class defines and implements behavior common to all classes—including the ones that you write. In the Java platform, many classes derive directly from Object, other classes derive from some of those classes, and so on, forming a single hierarchy of classes.

The keyword extends indicates one class inheriting from another.

Here is the sample code for a possible implementation of a Bicycle class and a MountainBike class that is a subclass of the Bicycle:

public class Bicycle {

    public int gear;
    public int speed;

    public Bicycle(int startSpeed, int startGear) {
        gear = startGear;
        speed = startSpeed;
    }

    public void setGear(int newValue) {
        gear = newValue;
    }

    public void applyBrake(int decrement) {
        speed -= decrement;
    }

    public void speedUp(int increment) {
        speed += increment;
    }

}
public class MountainBike extends Bicycle {

    // the MountainBike subclass adds one field
    public int seatHeight;

    // the MountainBike subclass has one constructor
    public MountainBike(int startHeight, int startSpeed, int startGear) {
        super(startSpeed, startGear);
        seatHeight = startHeight;
    }

    // the MountainBike subclass adds one method
    public void setHeight(int newValue) {
        seatHeight = newValue;
    }
}

A subclass inherits all the fields and methods of the superclass. In the example above, MountainBike inherits all the fields and methods of Bicycle and adds the field seatHeight and a method to set it.

Accessing superclass members

If your method overrides one of its superclass's methods, you can invoke the overridden method through the use of the keyword super. You can also use super to refer to a (although hiding fields is discouraged).

Consider this class, Superclass and a subclass, called Subclass, that overrides printMethod():

public class Superclass {

    public void printMethod() {
        System.out.println("Printed in Superclass.");
    }
}
public class Subclass extends Superclass {

    // overrides printMethod in Superclass
    public void printMethod() {
        super.printMethod();
        System.out.println("Printed in Subclass");
    }
    public static void main(String[] args) {
        Subclass s = new Subclass();
        s.printMethod();
    }
}

Printed in Superclass.
Printed in Subclass

Within Subclass, the simple name printMethod() refers to the one declared in Subclass, which overrides the one in Superclass. So, to refer to printMethod() inherited from Superclass, Subclass must use a qualified name, using super as shown.

Subclass constructors

A subclass constructor can invoke the superclass constructor. Invocation of a superclass constructor must be the first line in the subclass constructor. The syntax for calling a superclass constructor is super() (which invokes the no-argument constructor of the superclass) or super(parameters) (to invoke the superclass constructor with a matching parameter list).

The following example illustrates how to use the super keyword to invoke a superclass's constructor. Recall from the Bicycle example that MountainBike is a subclass of Bicycle. Here is the MountainBike (subclass) constructor that calls the superclass constructor and then adds some initialization code of its own (i.e., seatHeight = startHeight;):

public MountainBike(
        int startHeight, int startSpeed, int startGear) {

    super(startSpeed, startGear);
    seatHeight = startHeight;
}

Note: If a constructor does not explicitly invoke a superclass constructor, the Java compiler automatically inserts a call to the no-argument constructor of the superclass. If the superclass does not have a no-argument constructor, you will get a compile-time error. Object does have such a constructor, so if Object is the only superclass, there is no problem.

Access modifiers (simplified)

Access level modifiers determine whether other classes can use a particular field or invoke a particular method. Given below is a simplified version of Java access modifiers, assuming you have not yet started placing your classes in different packages i.e., all classes are placed in the root level. A full explanation of access modifiers is given in a later topic.

There are two levels of access control:

  1. At the class level:

    • public: the class is visible to all other classes
    • no modifier: same as public

  2. At the member level:

    • public : the member is visible to all other classes
    • protected: same as public
    • no modifier: same as public
    • private: the member is not visible to other classes (but can be accessed in its own class)

Resources:

A very beginner-friendly video about implementing Java inheritance.



Exercises:

[Key Exercise] inherit the Task class

Background: Suppose we are creating a software to manage various tasks a person has to do. Two types of such tasks are,

  • Todos: i.e., things that needs to be done some day e.g., 'Read the book Lord of the Rings'
  • Deadlines: i.e., things to be done by a specific date/time e.g., 'Read the text book by Nov 25th'

The Task class is given below:

public class Task {
    protected String description;

    public Task(String description) {
        this.description = description;
    }

    public String getDescription() {
        return description;
    }
}
  1. Write a Todo class that inherits from the Task class.
    • It should have an additional boolean field isDone to indicate whether the todo is done or not done.
    • It should have a isDone() method to access the isDone field and a setDone(boolean) method to set the isDone field.
  2. Write a Deadline class that inherits from the Todo class that you implemented in the previous step. It should have,
    • an additional String field by to store the details of when the task to be done e.g., Jan 25th 5pm
    • a getBy() method to access the value of the by field, and a corresponding setBy(String) method.
    • a constructor of the form Deadline(String description, String by)

The expected behavior of the two classes is as follows:

public class Main {
    public static void main(String[] args) {
        // create a todo task and print details
        Todo t = new Todo("Read a good book");
        System.out.println(t.getDescription());
        System.out.println(t.isDone());

        // change todo fields and print again
        t.setDone(true);
        System.out.println(t.isDone());

        // create a deadline task and print details
        Deadline d = new Deadline("Read textbook", "Nov 16");
        System.out.println(d.getDescription());
        System.out.println(d.isDone());
        System.out.println(d.getBy());

        // change deadline details and print again
        d.setDone(true);
        d.setBy("Postponed to Nov 18th");
        System.out.println(d.isDone());
        System.out.println(d.getBy());
    }
}

Read a good book
false
true
Read textbook
false
Nov 16
true
Postponed to Nov 18th

Hint




W4.1e

C++ to Java → Inheritance → The Object class

Can use Object class

As you know, all Java objects inherit from the Object class. Let us look at some of the useful methods in the Object class that can be used by other classes.

The toString method

Every class inherits a toString method from the Object class that is used by Java to get a string representation of the object e.g., for printing. By default, it simply returns the type of the object and its address (in hexadecimal).

Suppose you defined a class called Time, to represent a moment in time. If you create a Time object and display it with println:

class Time {
    int hours;
    int minutes;
    int seconds;

    Time(int hours, int minutes, int seconds) {
        this.hours = hours;
        this.minutes = minutes;
        this.seconds = seconds;
    }
}
 Time t = new Time(5, 20, 13);
 System.out.println(t);

Time@80cc7c0 (the address part can vary)

You can override the toString method in your classes to provide a more meaningful string representation of the objects of that class.

Here's an example of overriding the toString method of the Time class:

class Time{

     //...

     @Override
     public String toString() {
         return String.format("%02d:%02d:%02d\n",
                 this.hours, this.minutes, this.seconds);
     }
}
 Time t = new Time(5, 20, 13);
 System.out.println(t);

05:20:13

@Override is an optional annotation you can use to indicate that the method is overriding a method from the parent class.

The equals method

There are two ways to check whether values are equal: the == operator and the equals method. With objects you can use either one, but they are not the same.

  • The == operator checks whether objects are identical; that is, whether they are the same object.
  • The equals method checks whether they are equivalent; that is, whether they have the same value.

The definition of identity is always the same, so the == operator always does the same thing.

Consider the following variables:

Time time1 = new Time(9, 30, 0);
Time time2 = time1;
Time time3 = new Time(9, 30, 0);
  • The assignment operator copies references, so time1 and time2 refer to the same object. Because they are identical, time1 == time2 is true.
  • But time1 and time3 refer to different objects. Because they are not identical, time1 == time3 is false.

By default, the equals method inherited from the Object class does the same thing as ==. As the definition of equivalence is different for different classes, you can override the equals method to define your own criteria for equivalence of objects of your class.

Here's how you can override the equals method of the Time class to provide an equals method that considers two Time objects equivalent as long as they represent the same time of the day:

public class Time {
    int hours;
    int minutes;
    int seconds;

    // ...

    @Override
    public boolean equals(Object o) {
        Time other = (Time) o;
        return this.hours == other.hours
                && this.minutes == other.minutes
                && this.seconds == other.seconds;
    }
}
Time t1 = new Time(5, 20, 13);
Time t2 = new Time(5, 20, 13);
System.out.println(t1 == t2);
System.out.println(t1.equals(t2));

false
true

Note that a proper equals method implementation is more complex than the example above. See the article How to Implement Java’s equals Method Correctly by Nicolai Parlog for a detailed explanation before you implement your own equals method.


Exercises:

[Key Exercise] override the toString method

Suppose you have the following classes Task, Todo, Deadline:

public class Task {
    protected String description;

    public Task(String description) {
        this.description = description;
    }

    public String getDescription() {
        return description;
    }
}
public class Todo extends Task {
    protected boolean isDone;

    public Todo(String description) {
        super(description);
        isDone = false;
    }

    public void setDone(boolean done) {
        isDone = done;
    }

    public boolean isDone() {
        return isDone;
    }
}
public class Deadline extends Todo {

    protected String by;

    public Deadline(String description, String by) {
        super(description);
        this.by = by;
    }

    public void setBy(String by) {
        this.by = by;
    }

    public String getBy() {
        return by;
    }
}

Override the toString method of the three classes to produce the following behavior.

public class Main {
    public static void main(String[] args) {
        // create a todo task and print it
        Todo t = new Todo("Read a good book");
        System.out.println(t);

        // change todo fields and print again
        t.setDone(true);
        System.out.println(t);

        // create a deadline task and print it
        Deadline d = new Deadline("Read textbook", "Nov 16");
        System.out.println(d);

        // change deadline details and print again
        d.setDone(true);
        d.setBy("Postponed to Nov 18th");
        System.out.println(d);
    }
}

description: Read a good book
is done? No
description: Read a good book
is done? Yes
description: Read textbook
is done? No
do by: Nov 16
description: Read textbook
is done? Yes
do by: Postponed to Nov 18th

You can use the super.toString from the subclass to invoke the behavior of the method you are overriding. This is useful here because the overriding method is simply adding onto the behavior of the overridden method.

Hint





Guidance for the item(s) below:

Inheritance is even more powerful when combined with polymorphism (which also happens to be the fourth core concept of OOP), explained in the sections below.

  1. abstraction
  2. encapsulation
  3. inheritance
  4. polymorphism

[W4.2] OOP + Java: Polymorphism

W4.2a

Paradigms → OOP → Polymorphism → What

Can explain OOP polymorphism

Polymorphism:

The ability of different objects to respond, each in its own way, to identical messages is called polymorphism. -- Object-Oriented Programming with Objective-C, Apple

Polymorphism allows you to write code targeting superclass objects, use that code on subclass objects, and achieve possibly different results based on the actual class of the object.

Assume classes Cat and Dog are both subclasses of the Animal class. You can write code targeting Animal objects and use that code on Cat and Dog objects, achieving possibly different results based on whether it is a Cat object or a Dog object. Some examples:

  • Declare an array of type Animal and still be able to store Dog and Cat objects in it.
  • Define a method that takes an Animal object as a parameter and yet be able to pass Dog and Cat objects to it.
  • Call a method on a Dog or a Cat object as if it is an Animal object (i.e., without knowing whether it is a Dog object or a Cat object) and get a different response from it based on its actual class e.g., call the Animal class's method speak() on object a and get a "Meow" as the return value if a is a Cat object and "Woof" if it is a Dog object.

Polymorphism literally means "ability to take many forms".


W4.2b

Paradigms → OOP → Inheritance → Substitutability

Can explain 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 AcademicStaff is an instance of a Staff, but a Staff is not necessarily an instance of an AcademicStaff. 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

W4.2c

Paradigms → OOP → Inheritance → Dynamic and static binding

Can explain dynamic and static binding

Dynamic binding ( ): a mechanism where method calls in code are at , rather than at compile time.

Overridden methods are resolved using dynamic binding, and therefore resolves to the implementation in the actual type of the object.

Consider the code below. The declared type of s is Staff and it appears as if the adjustSalary(int) operation of the Staff class is invoked.

void adjustSalary(int byPercent) {
    for (Staff s: staff) {
        s.adjustSalary(byPercent);
    }
}

However, at runtime s can receive an object of any subclass of Staff. That means the adjustSalary(int) operation of the actual subclass object will be called. If the subclass does not override that operation, the operation defined in the superclass (in this case, Staff class) will be called.

Static binding (aka early binding): When a method call is resolved at compile time.

In contrast, overloaded methods are resolved using static binding.

Note how the constructor is overloaded in the class below. The method call new Account() is bound to the first constructor at compile time.

class Account {

    Account() {
        // Signature: ()
        ...
    }

    Account(String name, String number, double balance) {
        // Signature: (String, String, double)
        ...
    }
}

Similarly, the calculateGrade method is overloaded in the code below and a method call calculateGrade("A1213232") is bound to the second implementation, at compile time.

void calculateGrade(int[] averages) { ... }
void calculateGrade(String matric) { ... }

W4.2d

Paradigms → OOP → Polymorphism → How

Can explain how substitutability operation overriding, and dynamic binding relates to polymorphism

Three concepts combine to achieve polymorphism: substitutability, operation overriding, and dynamic binding.

  • Substitutability: Because of substitutability, you can write code that expects objects of a parent class and yet use that code with objects of child classes. That is how polymorphism is able to treat objects of different types as one type.
  • Overriding: To get polymorphic behavior from an operation, the operation in the superclass needs to be overridden in each of the subclasses. That is how overriding allows objects of different subclasses to display different behaviors in response to the same method call.
  • Dynamic binding: Calls to overridden methods are bound to the implementation of the actual object's class dynamically during the runtime. That is how the polymorphic code can call the method of the parent class and yet execute the implementation of the child class.

Exercises:

Concepts related to polymorphism



W4.2e

C++ to Java → Inheritance → Polymorphism

Can use polymorphism in Java

Java is a strongly-typed language which means the code works with only the object types that it targets.

The following code PetShelter keeps a list of Cat objects and make them speak. The code will not work with any other type, for example, Dog objects.

public class PetShelter {
    private static Cat[] cats = new Cat[]{
            new Cat("Mittens"),
            new Cat("Snowball")};

    public static void main(String[] args) {
        for (Cat c: cats){
            System.out.println(c.speak());
        }
    }
}

Mittens: Meow
Snowball: Meow

The Cat class


This strong-typing can lead to unnecessary verbosity caused by repetitive similar code that do similar things with different object types.

If the PetShelter is to keep both cats and dogs, you'll need two arrays and two loops:

public class PetShelter {
    private static Cat[] cats = new Cat[]{
            new Cat("Mittens"),
            new Cat("Snowball")};
    private static Dog[] dogs = new Dog[]{
            new Dog("Spot")};

    public static void main(String[] args) {
        for (Cat c: cats){
            System.out.println(c.speak());
        }
        for(Dog d: dogs){
            System.out.println(d.speak());
        }
    }
}

Mittens: Meow
Snowball: Meow
Spot: Woof

The Dog class


A better way is to take advantage of polymorphism to write code that targets a superclass so that it works with any subclass objects.

The PetShelter2 uses one data structure to keep both types of animals and one loop to make them speak. The code targets the Animal superclass (assuming Cat and Dog inherits from the Animal class) instead of repeating the code for each animal type.

public class PetShelter2 {
    private static Animal[] animals = new Animal[]{
            new Cat("Mittens"),
            new Cat("Snowball"),
            new Dog("Spot")};

    public static void main(String[] args) {
        for (Animal a: animals){
            System.out.println(a.speak());
        }
    }
}

Mittens: Meow
Snowball: Meow
Spot: Woof

The Animal, Cat, and Dog classes


Explanation: Because Java supports polymorphism, you can store both Cat and Dog objects in an array of Animal objects. Similarly, you can call the speak method on any Animal object (as done in the loop) and yet get different behavior from Cat objects and Dog objects.

Suggestion: try to add an Animal object (e.g., new Animal("Unnamed")) to the animals array and see what happens.

Polymorphic code is better in several ways:

  • It is shorter.
  • It is simpler.
  • It is more flexible (in the above example, the main method will work even if we add more animal types).

Resources:

Exercises:

[Key Exercise] print shape area

The Main class below keeps a list of Circle and Rectangle objects and prints the area (as an int value) of each shape when requested.

Add the missing variables/methods to the code below so that it produces the output given.

public class Main {
    //TODO add your methods here

    public static void main(String[] args) {
        addShape(new Circle(5));
        addShape(new Rectangle(3, 4));
        addShape(new Circle(10));
        printAreas();
        addShape(new Rectangle(4, 4));
        printAreas();
    }
}

78
12
314
78
12
314
16

Circle class and Rectangle class is given below but you'll need to add a parent class Shape.

public class Circle extends Shape {

    private int radius;

    public Circle(int radius) {
        this.radius = radius;
    }

    @Override
    public int area() {
        return (int)(Math.PI * radius * radius);
    }
}
public class Rectangle extends Shape{
    private int height;
    private int width;

    public Rectangle(int height, int width){
        this.height = height;
        this.width = width;
    }

    @Override
    public int area() {
        return height * width;
    }
}

You may use an array of size 100 to store the shapes.

Partial solution


Hint





Guidance for the item(s) below:

You already know how to define variables in Java code; do you know how to define constants?

[W4.3] Java: Constants

W4.3a

C++ to Java → Miscellaneous Topics → Constants

Can use Java constants

Java does not directly support constants. The convention is to use a static final variable where a constant is needed. The static modifier causes the variable to be available without instantiating an object. The final modifier causes the variable to be unchangeable. Java constants are normally declared in ALL CAPS separated by underscores.

Here is an example of a constant named MAX_BALANCE which can be accessed as Account.MAX_BALANCE.

public class Account{

  public static final double MAX_BALANCE = 1000000.0;

}

Math.PI is an example constant that comes with Java.



Guidance for the item(s) below:

An enumeration is something in between a primitive (e.g., int) and a class (e.g., Person). Let's learn about enumerations next.

[W4.4] OOP + Java: Enumerations

W4.4a

Paradigms → OOP → Classes → Enumerations

Can explain the meaning of enumerations

An Enumeration is a fixed set of values that can be considered as a data type. An enumeration is often useful when using a regular data type such as int or String would allow invalid values to be assigned to a variable.

Suppose you want a variable called priority to store the priority of something. There are only three priority levels: high, medium, and low. You can declare the variable priority as of type int and use only values 2, 1, and 0 to indicate the three priority levels. However, this opens the possibility of an invalid value such as 9 being assigned to it. But if you define an enumeration type called Priority that has three values HIGH, MEDIUM and LOW only, a variable of type Priority will never be assigned an invalid value because the compiler is able to catch such an error.

Priority: HIGH, MEDIUM, LOW


W4.4b

C++ to Java → Miscellaneous Topics → Enumerations

Can use Java enumerations

You can define an enum type by using the enum keyword. Because they are constants, the names of an enum type's fields are in uppercase letters e.g., FLAG_SUCCESS by convention.

Defining an enumeration to represent days of a week (code to be put in the Day.java file):

public enum Day {
    SUNDAY, MONDAY, TUESDAY, WEDNESDAY,
    THURSDAY, FRIDAY, SATURDAY
}

Some examples of using the Day enumeration defined above:

Day today = Day.MONDAY;
Day[] holidays = new Day[]{Day.SATURDAY, Day.SUNDAY};

switch (today) {
case SATURDAY:
case SUNDAY:
    System.out.println("It's the weekend");
    break;
default:
    System.out.println("It's a week day");
}

Note that while enumerations are usually a simple set of fixed values, Java enumerations can have behaviors too, as explained in this tutorial from -- Java Tutorial


Exercises:

[Key Exercise] show priority color

Define an enumeration named Priority. Add the missing describe method to the code below so that it produces the output given.

public class Main {

    // Add your method here

    public static void main(String[] args) {
        describe("Red", Priority.HIGH);
        describe("Orange", Priority.MEDIUM);
        describe("Blue", Priority.MEDIUM);
        describe("Green", Priority.LOW);
    }
}

Red indicates high priority
Orange indicates medium priority
Blue indicates medium priority
Green indicates low priority

Hint





Guidance for the item(s) below:

As you start adding features to your project iteratively, you'll need a way to detect if the new code breaks the existing code. Next, let's learn a rather simple way to do that using a certain type of testing (we'll be learning more sophisticated methods in later weeks).

[W4.5] Automated Testing of Text UIs

W4.5a

Quality Assurance → Testing → Introduction → What

Can explain testing

Testing: Operating a system or component under specified conditions, observing or recording the results, and making an evaluation of some aspect of the system or component. –- source: IEEE

When testing, you execute a set of test cases. A test case specifies how to perform a test. At a minimum, it specifies the input to the software under test (SUT) and the expected behavior.

Example: A minimal test case for testing a browser:

  • Input – Start the browser using a blank page (vertical scrollbar disabled). Then, load longfile.html located in the test data folder.
  • Expected behavior – The scrollbar should be automatically enabled upon loading longfile.html.

Test cases can be determined based on the specification, reviewing similar existing systems, or comparing to the past behavior of the SUT.

Other details a test case can contain ... extra

For each test case you should do the following:

  1. Feed the input to the SUT
  2. Observe the actual output
  3. Compare actual output with the expected output

A test case failure is a mismatch between the expected behavior and the actual behavior. A failure indicates a potential defect (or a bug), unless the error is in the test case itself.

Example: In the browser example above, a test case failure is implied if the scrollbar remains disabled after loading longfile.html. The defect/bug causing that failure could be an uninitialized variable.

A deeper look at the definition of testing extra


W4.5b

Quality Assurance → Testing → Regression Testing → What

Can explain regression testing

When you modify a system, the modification may result in some unintended and undesirable effects on the system. Such an effect is called a regression.

Regression testing is the re-testing of the software to detect regressions. The typical way to detect regressions is retesting all related components, even if they had been tested before.

Regression testing is more effective when it is done frequently, after each small change. However, doing so can be prohibitively expensive if testing is done manually. Hence, regression testing is more practical when it is automated.


Exercises:

Regression Testing definition: T/F?



W4.5c

Quality Assurance → Testing → Test Automation → What

Can explain test automation

An automated test case can be run programmatically and the result of the test case (pass or fail) is determined programmatically. Compared to manual testing, automated testing reduces the effort required to run tests repeatedly and increases precision of testing (because manual testing is susceptible to human errors).




W4.5d

Quality Assurance → Testing → Test Automation → Automated testing of CLI applications

Can semi-automate testing of CLIs

A simple way to semi-automate testing of a CLI (Command Line Interface) app is by using input/output re-direction. Here are the high-level steps:

  • First, you feed the app with a sequence of test inputs that is stored in a file while redirecting the output to another file.
  • Next, you compare the actual output file with another file containing the expected output.

Let's assume you are testing a CLI app called AddressBook. Here are the detailed steps:

  1. Store the test input in the text file input.txt.

    Example input.txt


  2. Store the output you expect from the SUT in another text file expected.txt.

    Example expected.txt


  3. Run the program as given below, which will redirect the text in input.txt as the input to AddressBook and similarly, will redirect the output of AddressBook to a text file output.txt. Note that this does not require any changes in AddressBook code.

    java AddressBook < input.txt > output.txt
    
    • The way to run a CLI program differs based on the language.
      e.g., In Python, assuming the code is in AddressBook.py file, use the command
      python AddressBook.py < input.txt > output.txt

    • If you are using Windows, use a normal MS-DOS terminal (i.e., cmd.exe) to run the app, not a PowerShell window.

  4. Next, you compare output.txt with the expected.txt. This can be done using a utility such as Windows' FC (i.e. File Compare) command, Unix's diff command, or a GUI tool such as WinMerge.

    FC output.txt expected.txt
    

Note that the above technique is only suitable when testing CLI apps, and only if the exact output can be predetermined. If the output varies from one run to the other (e.g. it contains a time stamp), this technique will not work. In those cases, you need more sophisticated ways of automating tests.



Guidance for the item(s) below:

Continuing our theme on code quality, given below is another aspect of it: readability

[W4.6] Code Quality: Readability

W4.6a

Implementation → Code Quality → Readability → Introduction

Can explain the importance of readability

Programs should be written and polished until they acquire publication quality. --Niklaus Wirth

Among various dimensions of code quality, such as run-time efficiency, security, and robustness, one of the most important is readability (aka understandability). This is because in any non-trivial software project, code needs to be read, understood, and modified by other developers later on. Even if you do not intend to pass the code to someone else, code quality is still important because you will become a 'stranger' to your own code someday.


W4.6b

Implementation → Code Quality → Readability → Basic → Avoid long methods

Can improve code quality using technique: avoid long methods

Avoid long methods as they often contain more information than what the reader can process at a time. Take corrective action when it goes beyond 30 . The bigger the haystack, the harder it is to find a needle.


W4.6c

Implementation → Code Quality → Readability → Basic → Avoid deep nesting

Can improve code quality using technique: avoid deep nesting

If you need more than 3 levels of indentation, you're screwed anyway, and should fix your program. --Linux 1.3.53 Coding Style

Avoid deep nesting -- the deeper the nesting, the harder it is for the reader to keep track of the logic.

In particular, avoid arrowhead style code.

A real code example:

Bad

int subsidy() {
    int subsidy;
    if (!age) {
        if (!sub) {
            if (!notFullTime) {
                subsidy = 500;
            } else {
                subsidy = 250;
            }
        } else {
            subsidy = 250;
        }
    } else {
        subsidy = -1;
    }
    return subsidy;
}

Good

int calculateSubsidy() {
    int subsidy;
    if (isSenior) {
        subsidy = REJECT_SENIOR;
    } else if (isAlreadySubsidized) {
        subsidy = SUBSIDIZED_SUBSIDY;
    } else if (isPartTime) {
        subsidy = FULLTIME_SUBSIDY * RATIO;
    } else {
        subsidy = FULLTIME_SUBSIDY;
    }
    return subsidy;
}

Bad

def calculate_subs():
    if not age:
        if not sub:
            if not not_fulltime:
                subsidy = 500
            else:
                subsidy = 250
        else:
            subsidy = 250
    else:
        subsidy = -1
    return subsidy
  

Good

def calculate_subsidy():
    if is_senior:
        return REJECT_SENIOR
    elif is_already_subsidized:
        return SUBSIDIZED_SUBSIDY
    elif is_parttime:
        return FULLTIME_SUBSIDY * RATIO
    else:
        return FULLTIME_SUBSIDY

W4.6d

Implementation → Code Quality → Readability → Basic → Avoid complicated expressions

Can improve code quality using technique: avoid complicated expressions

Avoid complicated expressions, especially those having many negations and nested parentheses. If you must evaluate complicated expressions, have it done in steps (i.e. calculate some intermediate values first and use them to calculate the final value).

Bad

return ((length < MAX_LENGTH) || (previousSize != length))
        && (typeCode == URGENT);

Good

boolean isWithinSizeLimit = length < MAX_LENGTH;
boolean isSameSize = previousSize != length;
boolean isValidCode = isWithinSizeLimit || isSameSize;

boolean isUrgent = typeCode == URGENT;

return isValidCode && isUrgent;

Bad

return ((length < MAX_LENGTH) or (previous_size != length)) and (type_code == URGENT)

Good

is_within_size_limit = length < MAX_LENGTH
is_same_size = previous_size != length
is_valid_code = is_within_size_limit or is_same_size

is_urgent = type_code == URGENT

return is_valid_code and is_urgent

The competent programmer is fully aware of the strictly limited size of his own skull; therefore he approaches the programming task in full humility, and among other things he avoids clever tricks like the plague. -- Edsger Dijkstra


W4.6e

Implementation → Code Quality → Readability → Basic → Avoid magic numbers

Can improve code quality using technique: avoid magic numbers

Avoid magic numbers in your code. When the code has a number that does not explain the meaning of the number, it is called a "magic number" (as in "the number appears as if by magic"). Using a makes the code easier to understand because the name tells us more about the meaning of the number.

Bad

return 3.14236;
...
return 9;
  

Good

static final double PI = 3.14236;
static final int MAX_SIZE = 10;
...
return PI;
...
return MAX_SIZE - 1;

Note: Python does not have a way to make a variable a constant. However, you can use a normal variable with an ALL_CAPS name to simulate a constant.

Bad

return 3.14236
...
return 9
  

Good

PI = 3.14236
MAX_SIZE = 10
...
return PI
...
return MAX_SIZE - 1

Similarly, you can have ‘magic’ values of other data types.

Bad

return "Error 1432"; // A magic string!
return "Error 1432" # A magic string!

Avoid any magic literals in general, not just magic numbers.


W4.6f

Implementation → Code Quality → Readability → Basic → Make the code obvious

Can improve code quality using technique: make the code obvious

Make the code as explicit as possible, even if the language syntax allows them to be implicit. Here are some examples:

  • [Java] Use explicit type conversion instead of implicit type conversion.
  • [Java, Python] Use parentheses/braces to show groupings even when they can be skipped.
  • [Java, Python] Use enumerations when a certain variable can take only a small number of finite values. For example, instead of declaring the variable 'state' as an integer and using values 0, 1, 2 to denote the states 'starting', 'enabled', and 'disabled' respectively, declare 'state' as type SystemState and define an enumeration SystemState that has values 'STARTING', 'ENABLED', and 'DISABLED'.

W4.6g

Implementation → Code Quality → Readability → Intermediate → Structure code logically

Can improve code quality using technique: structure code logically

Lay out the code so that it adheres to the logical structure. The code should read like a story. Just like how you use section breaks, chapters and paragraphs to organize a story, use classes, methods, indentation and line spacing in your code to group related segments of the code. For example, you can use blank lines to separate groups of related statements.

Sometimes, the correctness of your code does not depend on the order in which you perform certain intermediary steps. Nevertheless, this order may affect the clarity of the story you are trying to tell. Choose the order that makes the story most readable.

Bad

statement A1
statement A2
statement A3
statement B1
statement C1
statement B2
statement C2
  

Good

statement A1
statement A2
statement A3

statement B1
statement B2

statement C1
statement C2

W4.6h

Implementation → Code Quality → Readability → Intermediate → Do not 'Trip Up' reader

Can improve code quality using technique: do not 'trip up' reader

Avoid things that would make the reader go ‘huh?’, such as,

  • unused parameters in the method signature
  • similar things that look different
  • different things that look similar
  • multiple statements in the same line
  • data flow anomalies such as, pre-assigning values to variables and modifying it without any use of the pre-assigned value

W4.6i

Implementation → Code Quality → Readability → Intermediate → Practice KISSing

Can improve code quality using technique: practice KISSing

Do not try to write ‘clever’ code. "Keep it simple, stupid” (KISS), as the old adage goes. For example, do not dismiss the brute-force yet simple solution in favor of a complicated one because of some ‘supposed benefits’ such as 'better reusability' unless you have a strong justification.

Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it. -- Brian W. Kernighan

Programs must be written for people to read, and only incidentally for machines to execute. -- Abelson and Sussman


W4.6j

Implementation → Code Quality → Readability → Intermediate → Avoid premature optimizations

Can improve code quality using technique: avoid premature optimizations

Optimizing code prematurely has several drawbacks:

  • You may not know which parts are the real performance bottlenecks. This is especially the case when the code undergoes transformations (e.g. compiling, minifying, transpiling, etc.) before it becomes an executable. Ideally, you should use a profiler tool to identify the actual bottlenecks of the code first, and optimize only those parts.
  • Optimizing can complicate the code, affecting correctness and readability.
  • Hand-optimized code can be harder for the compiler to optimize (the simpler the code, the easier it is for the compiler to optimize). In many cases, a compiler can do a better job of optimizing the runtime code if you don't get in the way by trying to hand-optimize the source code.

Make it work, make it right, make it fast is popular saying in the industry, which means in most cases, getting the code to perform correctly should take priority over optimizing it. If the code doesn't work correctly, it has no value no matter how fast/efficient it is.

Premature optimization is the root of all evil in programming. -- Donald Knuth

Of course, there are cases in which optimizing takes priority over other things e.g. when writing code for resource-constrained environments. This guideline is simply a caution that you should optimize only when it is really needed.


W4.6k

Implementation → Code Quality → Readability → Intermediate → SLAP hard

Can improve code quality using technique: SLAP hard

Avoid having multiple levels of abstraction within a code fragment. Note: The book The Productive Programmer (by Neal Ford) calls this the Single Level of Abstraction Principle (SLAP) while the book Clean Code (by Robert C. Martin) calls this One Level of Abstraction per Function.

Bad (readData(); and salary = basic * rise + 1000; are at different levels of abstraction)

readData();
salary = basic * rise + 1000;
tax = (taxable ? salary * 0.07 : 0);
displayResult();

Good (all statements are at the same level of abstraction)

readData();
processData();
displayResult();

That said, it is sometimes possible to pack two levels of abstraction into the code without affecting readability that much, provided each step in the higher-level logic is clearly marked using comments and separated (e.g., using a blank line) from adjacent steps.

Example: The following pseudocode has two levels of abstraction.

//high-level step A
low-level statement A1
low-level statement A2
low-level statement A3

//high-level step B
low-level statement B1
low-level statement B2

//high-level step C
low-level statement C1
low-level statement C2

W4.6l

Implementation → Code Quality → Readability → Advanced → Make the happy path prominent

Can improve code quality using technique: make the happy path prominent

The happy path should be clear and prominent in your code. Restructure the code to make the happy path (i.e. the execution path taken when everything goes well) less-nested as much as possible. It is the ‘unusual’ cases that should be nested. Someone reading the code should not get distracted by alternative paths taken when error conditions happen. One technique that could help in this regard is the use of guard clauses.

The following example shows how guard clauses can be used to reduce the nesting of the happy path.

Bad

if (!isUnusualCase) {  //detecting an unusual condition
    if (!isErrorCase) {
        start();    //main path
        process();
        cleanup();
        exit();
    } else {
        handleError();
    }
} else {
    handleUnusualCase(); //handling that unusual condition
}

In the code above,

  • unusual condition detections are separated from their handling.
  • the main path is nested deeply.

Good

if (isUnusualCase) { //Guard Clause
    handleUnusualCase();
    return;
}

if (isErrorCase) { //Guard Clause
    handleError();
    return;
}

start();
process();
cleanup();
exit();

In contrast, the above code

  • deals with unusual conditions as soon as they are detected so that the reader doesn't have to remember them for long.
  • keeps the main path un-indented.

The following pseudocode example shows how to reduce the nesting of the happy path inside a loop using a continue statement:

Bad

for (condition1)
    if (condition2)
        statement A
        statement B
        statement C
        statement D
statement E
  

Good

for (condition1)
    if (not condition2)
        continue
    statement A
    statement B
    statement C
    statement D
statement E


Guidance for the item(s) below:

Knowing code-quality guidelines is useful for sure, but how do we improve the code quality of existing code in a systematic and safe way? That's where the next topic comes in.

[W4.7] Code Quality: Refactoring

W4.7a

Implementation → Refactoring → What

Can explain refactoring

The process of improving a program's internal structure in small steps without modifying its external behavior is called refactoring. Refactoring is needed because the first version of the code you write may not be of production quality. It is OK to first concentrate on making the code work, rather than worry over the quality of the code, as long as you improve the quality later.

  • Refactoring is not rewriting: Discarding poorly-written code entirely and re-writing it from scratch is not refactoring because refactoring needs to be done in small steps.
  • Refactoring is not bug fixing: By definition, refactoring is different from bug fixing or any other modifications that alter the external behavior (e.g. adding a feature) of the component in concern.

Refactoring code can have many secondary benefits e.g.

  • hidden bugs become easier to spot
  • improve performance (sometimes, simpler code runs faster than complex code because simpler code is easier for the compiler to optimize).

Given below are two common refactorings (more).

Refactoring Name: Consolidate Duplicate Conditional Fragments

Situation: The same fragment of code is in all branches of a conditional expression.

Method: Move it outside of the expression.

Example:

if (isSpecialDeal()) {
    total = price * 0.95;
    send();
} else {
    total = price * 0.98;
    send();
}
 → 
if (isSpecialDeal()) {
    total = price * 0.95;
} else {
    total = price * 0.98;
}
send();

if is_special_deal:
    total = price * 0.95
    send()
else:
    total = price * 0.98
    send()
 → 
if is_special_deal:
    total = price * 0.95
else:
    total = price * 0.98

send()

Refactoring Name: Extract Method

Situation: You have a code fragment that can be grouped together.

Method: Turn the fragment into a method whose name explains the purpose of the method.

Example:

void printOwing() {
    printBanner();

    // print details
    System.out.println("name:	" + name);
    System.out.println("amount	" + getOutstanding());
}

void printOwing() {
    printBanner();
    printDetails(getOutstanding());
}

void printDetails(double outstanding) {
    System.out.println("name:	" + name);
    System.out.println("amount	" + outstanding);
}
def print_owing():
    print_banner()

    # print details
    print("name:	" + name)
    print("amount	" + get_outstanding())

def print_owing():
    print_banner()
    print_details(get_outstanding())

def print_details(amount):
    print("name:	" + name)
    print("amount	" + amount)

Some IDEs have builtin support for basic refactorings such as automatically renaming a variable/method/class in all places it has been used.

Refactoring, even if done with the aid of an IDE, may still result in regressions. Therefore, each small refactoring should be followed by regression testing.


Exercises:

Results of Refactoring


Do you agree with the following statement? Refactoring and regression testing


Explain Refactoring



W4.7b : OPTIONAL

Tools → IntelliJ IDEA → Refactoring


W4.7c

Implementation → Refactoring → How

W4.7d : OPTIONAL

Implementation → Refactoring → When



Guidance for the item(s) below:

Let's learn how to create a pull request (PRs) on GitHub; you need to create one for your project this week.

Follow that with learning how to review PRs as you'll be doing that too later in this week.

[W4.8] RCS: Creating Pull Requests

W4.8a

Tools → Git and GitHub → Creating PRs

Can create PRs on GitHub

Suppose you want to propose some changes to a GitHub repo (e.g., samplerepo-pr-practice) as a pull request (PR).

samplerepo-pr-practice is an unmonitored repo you can use to practice working with PRs. Feel free to send PRs to it.

Given below is a scenario you can try in order to learn how to create PRs:

1. Fork the repo onto your GitHub account.

2. Clone it onto your computer.

3. Commit your changes e.g., add a new file with some contents and commit it.

  • Option A - Commit changes to the master branch
  • Option B - Commit to a new branch e.g., create a branch named add-intro (remember to switch to the master branch before creating a new branch) and add your commit to it.

4. Push the branch you updated (i.e., master branch or the new branch) to your fork, as explained here.

5. Initiate the PR creation:

  1. Go to your fork.

  2. Click on the Pull requests tab followed by the New pull request button. This will bring you to the Compare changes page.

  3. Set the appropriate target repo and the branch that should receive your PR, using the base repository and base dropdowns. e.g.,
    base repository: se-edu/samplerepo-pr-practice base: master

    Normally, the default value shown in the dropdown is what you want but in case your fork has , the default may not be what you want.

  4. Indicate which repo:branch contains your proposed code, using the head repository and compare dropdowns. e.g.,
    head repository: myrepo/samplerepo-pr-practice compare: master

6. Verify the proposed code: Verify that the diff view in the page shows the exact change you intend to propose. If it doesn't, as necessary.

7. Submit the PR:

  1. Click the Create pull request button.

  2. Fill in the PR name and description e.g.,
    Name: Add an introduction to the README.md
    Description:

    Add some paragraph to the README.md to explain ...
    Also add a heading ...
    
  3. If you want to indicate that the PR you are about to create is 'still work in progress, not yet ready', click on the dropdown arrow in the Create pull request button and choose Create draft pull request option.

  4. Click the Create pull request button to create the PR.

  5. Go to the receiving repo to verify that your PR appears there in the Pull requests tab.

The next step of the PR life cycle is the PR review. The members of the repo that received your PR can now review your proposed changes.

  • If they like the changes, they can merge the changes to their repo, which also closes the PR automatically.
  • If they don't like it at all, they can simply close the PR too i.e., they reject your proposed change.
  • In most cases, they will add comments to the PR to suggest further changes. When that happens, GitHub will notify you.

You can update the PR along the way too. Suppose PR reviewers suggested a certain improvement to your proposed code. To update your PR as per the suggestion, you can simply modify the code in your local repo, commit the updated code to the same branch as before, and push to your fork as you did earlier. The PR will auto-update accordingly.

Sending PRs using the master branch is less common than sending PRs using separate branches. For example, suppose you wanted to propose two bug fixes that are not related to each other. In that case, it is more appropriate to send two separate PRs so that each fix can be reviewed, refined, and merged independently. But if you send PRs using the master branch only, both fixes (and any other change you do in the master branch) will appear in the PRs you create from it.

To create another PR while the current PR is still under review, create a new branch (remember to switch back to the master branch first), add your new proposed change in that branch, and create a new PR following the steps given above.

It is possible to create PRs within the same repo e.g., you can create a PR from branch feature-x to the master branch, within the same repo. Doing so will allow the code to be reviewed by other developers (using PR review mechanism) before it is merged.

Problem: merge conflicts in ongoing PRs, indicated by the message This branch has conflicts that must be resolved. That means the upstream repo's master branch has been updated in a way that the PR code conflicts with that master branch. Here is the standard way to fix this problem:

  1. Pull the master branch from the upstream repo to your local repo.
    git checkout master
    git pull upstream master
    
  2. In the local repo, and attempt to merge the master branch (that you updated in the previous step) onto the PR branch, in order to bring over the new code in the master branch to your PR branch.
    git checkout pr-branch  # assuming pr-branch is the name of branch in the PR
    git merge master
    
  3. The merge you are attempting will run into a merge conflict, due to the aforementioned conflicting code in the master branch. Resolve the conflict manually (this topic is covered elsewhere), and complete the merge.
  4. Push the PR branch to your fork. As the updated code in that branch no longer is conflicting with the master branch, the merge conflict alert in the PR will go away automatically.

W4.8b

Tools → Git and GitHub → Reviewing PRs

Can review PRs on GitHub

The PR review stage is a dialog between the PR author and members of the repo that received the PR, in order to refine and eventually merge the PR.

Given below are some steps you can follow when reviewing a PR.

1. Locate the PR:

  1. Go to the GitHub page of the repo.
  2. Click on the Pull requests tab.
  3. Click on the PR you want to review.

2. Read the PR description. It might contain information relevant to reviewing the PR.

3. Click on the Files changed tab to see the diff view.

4. Add review comments:

  1. Hover over the line you want to comment on and click on the icon that appears on the left margin. That should create a text box for you to enter your comment.
    • To give a comment related to multiple lines, click-and-drag the icon. The result will look like this:
  2. Enter your comment.
    • This page @SE-EDU/guides has some best practices PR reviewers can follow.
    • To suggest an in-line code change, click on this icon:

      After that, you can proceed to edit the suggestion code block generated by GitHub (as seen in the screenshot above).
      The comment will look like this to the viewers:

  3. After typing in the comment, click on the Start a review button (not the Add single comment button. This way, your comment is saved but not visible to others yet. It will be visible to others only when you have finished the entire review.

  4. Repeat the above steps to add more comments.

5. Submit the review:

  1. When there are no more comments to add, click on the Review changes button (on the top right of the diff page).
  2. Type in an overall comment about the PR, if any. e.g.,
    Overall, I found your code easy to read for the most part except a few places
    where the nesting was too deep. I noted a few minor coding standard violations
    too. Some of the classes are getting quite long. Consider splitting into
    smaller classes if that makes sense.
    
    LGTM is often used in such overall comments, to indicate Looks good to me (or Looks good to merge).
    nit (as in nit-picking) is another such term, used to indicate minor flaws e.g., LGTM. Just a few nits to fix..
  3. Choose Approve, Comment, or Request changes option as appropriate and click on the Submit review button.