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Why Modular Elements Are Important For Procedural Programming?

Procedural programming is a type of programming in which the programmer describes the procedure, or set of steps, that are needed to solve a problem. A procedure can be described in one sentence or in many pages.

Procedural programming is generally distinguished from object-oriented programming by its lack of emphasis on data abstraction and encapsulation, which are features more typical in object-oriented languages.

Some believe that procedural code is less flexible than object-oriented code because it requires explicit instruction for each procedure to be executed. However, modular elements are important for procedural programming because they can be reused easily.

Modular elements are created by breaking down the problem into smaller pieces that can then be reused when solving future problems. Here are some ways to use modular elements

What is Procedural Programming

Procedural programming is a programming technique in which programmers describe a procedure and then repeat it until the problem is solved. Typically, a procedural program is broken down into subroutines which operate on smaller sections of a problem. The instructions of subroutines are combined in various ways, and then executed by the computer. Often, subroutines operate in series.

The sequential elements of a procedural program usually form a loop. A loop is a set of instructions used to repeatedly execute the instructions in that set. A subroutine can also be seen as a piece of a loop that takes an input value and produces another, typically much larger, value. Subroutines can be a single instruction such as a statement, or they can be a list of statements.

Why Modular Elements Are Important For Procedural Programming

Modular components are used to implement reusable components in software. These components are called parameters or parameters or exceptions. A component can have multiple parameters. A component can also have exceptions. When a component uses one of the categories, it uses the respective object. Modular components are easy to handle because it’s just a function that takes a parameter.

Whenever a parameter is passed in, it is assigned to the appropriate object. When a component wants to handle an exception, it simply calls the given function with the exception object. Whenever a component needs another object, it just uses the required object as the second parameter.

Modular elements can be represented in different ways. They can be represented as variables or as functions.

Examples of modular elements for procedural programming

We used the example above to explain how modular elements are used in procedural programming. However, you can use the following example to show how you can use modular elements in object-oriented programming:


First, we must explain what a procedure is in procedural programming. A procedure is a sequence of steps that define how a problem is solved. The steps for a particular procedure are executed as one unit, usually grouped into one or more sequential procedures.

This C function takes two parameters: a value for x and y , and one for z . It calculates the sum of the two values, gives the result of this computation, and returns a value for x and y . In other words, x is equal to y + z . In this program, x has no type, so the parameter a doesn’t appear anywhere in the program. The result for the function is just the argument for the function.


A module is defined by a task to be performed. A job is a sequence of steps to be performed to achieve the goal. Jobs can be composed from modules. A top-down view shows the modules as logically ordered groups of modules. Each top-down module contains a sequence of steps that results in a conclusion.

Because modules must be able to store data and perform actions (for example, opening a door), the data stored in the modules must be reusable. A module is said to be modular if it contains a top-down sequence of modules. Module2 is called a top-down module if it contains a module1 module3 job .


In programming, functions can be used to perform a simple calculation. Examples of commonly used functions include addition, subtraction, multiplication and division. In many procedural programming languages, there is no need to define a function declaration.

This means that the compiler can automatically generate the function to perform the given calculation. Functions are also often prefixed with the prefix codice_1, which indicates the language.

For example, in C there is no function declaration for the addition function (codice_2), but codice_3 is automatically created and is what the compiler uses. Data is a very important part of procedural code because it’s the central representation of information.


Loops are a useful element for procedural programming. They’re commonly used to generate and execute a procedure that repeats the same action in a loop. A for loop is a common loop for loops in procedural programming. For example, the for loop is a common approach for generating a procedure that makes an n th iteration and then repeats that process.

Another loop that is common in procedural programming is a while loop, which is used to make an n th iteration and then call the procedure with an indicator. Finally, there are for/while loops, which are used to make an n th iteration and then conditionally execute the procedure. Finally, there are loop and for loops that are implemented using conditionals.


As noted at the beginning of this article, procedural programming is becoming more popular because it can speed up the development of applications and facilitate development of unique solutions for problems.

One of the main challenges with procedural programming is how to create reusable and expandable components. A number of techniques can be used to achieve this goal, but the following techniques provide the best results. The techniques are also essential in creating reusable and expandable components.

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