Internet of Things

• Business models, and

• Business application.

Without the help of uniform standardization, it is complicated to perform tests for all the

IoT devices because their device manufacturers design devices as per their own wishes, because

the creation of several issues which is reflected by various IoT devices battling with conflicts.

Majority of the testing revolves around the device’s use case and how is it supposed to work

with the IoT infrastructure. It is visible that there is a clear-cut absence of routine procedures for

all the levels of testing. When all of these levels benefit from uniform standardization, testers are

easily able to test an IoT device which highly improves the user experience of the IoT solutions.

Network

IoT devices can be threatened with dierent types of problems pertaining to network configu-

rations; as a result, the communication of the device is aected along with its performance.

Therefore, it is crucial that you test your IoT device for various types of network conditions

while leveraging network virtualization. Memory consumption, CPU, battery consumption, and

other metrics should be stored so the IoT device’s response can be studied.

Other than the above-mentioned challenges, you have to keep in mind that there are several

other IoT challenges as well for the testers. Resolving such issues can help in the development

of high-quality and stable IoT solutions. By using unit testing, integration testing, and a formi-

dable test plan, you can easily test your IoT devices and enhance their output for their users.

Quick Challenge

List all other IoT testing challenges you can think of.

IoT TESTING TOOLS

In order to carry out tests for the Internet of Things, there are dierent types of testing tools.

Some of them are the following.

IoTIFY

IoTIFY is a solution for load testing of IoT platforms which comes up with cloud-based AI

functionalities. It oers rapid IoT app development via the simulation of virtual devices within

the cloud.

At its core, it oers “intelligent” cloud system simulations in the IoT ecosystem, making it

convenient to create a cloud-based Internet of Things app which is considerably large in size.

The rapid dev environment is critical in facilitating the management, scaling, and prototyping

of IoT apps with utmost ease and flexibility. The use of IoT allows testers to speedily convert

their ideas into a prototype; it is then scaled out of a single Internet of Things endpoint to thou-

sands of IoT endpoints.

Since IoT creates device simulations, therefore, you require a cloud-based platform for

establishing a connection with the simulation. For this purpose, testers can choose from an

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