Recognizing objects from nouns

Let's imagine, we have to develop a new simple application, and we receive a description with the requirements. The application must allow users to calculate the areas and perimeters of squares, rectangles, circles, and ellipses.

It is indeed a very simple application, and you can start writing code in Python, JavaScript, and C#. You can create four functions that calculate the areas of the shapes mentioned earlier. Moreover, you can create four additional functions that calculate the perimeters for them. For example, the following seven functions would do the job:

However, let's forget a bit about programming languages and functions. Let's recognize the real-world objects from the application's requirements. It is necessary to calculate the areas and perimeters of four elements, that is, four nouns in the requirements that represent real-life objects:

We can design our application by following an object-oriented paradigm. Instead of creating a set of functions that perform the required tasks, we can create software objects that represent the state and behavior of a square, rectangle, circle, and an ellipse. This way, the different objects mimic the real-world shapes. We can work with the objects to specify the different attributes required to calculate their areas and their perimeters.

Now, let's move to the real world and think about the four shapes. Imagine that you have to draw the four shapes on paper and calculate both their areas and perimeters. What information do you require for each of the shapes? Think about this, and then, take a look at the following table that summarizes the data required for each shape:

The following diagram shows the four shapes drawn and their elements: