- May 29, 2017
- Posted by: Abhay Das
- Category: Digital Assurance
Internet of Things (IoT) Testing Market Worth 1,378.5 Million USD by 2021
The new research report on “Internet of Things (IoT) Testing Market by Testing Type Service Type, Application Type, and Region – Global Forecast to 2021”, published by MarketsandMarkets, the market size estimated to grow from USD 302.9 Million in 2016 to USD 1,378.5 Million by 2021, at a Compound Annual Growth Rate (CAGR) of 35.4%. – PR Newswire
To get the attention of IoT, QA vendors must view software testing more than devices and sensors.
They should view testing from a more technical perspective as IoT comes with the enormous volumes, variety and velocity of data produced across a clever and connected ecosystem.
There are multiple definitions for IOT, but we define it as a network of devices with sensors or embedded technology, connected to the internal or external environment for taking intelligent decisions
There are three core components of IOT –
- Things – The real world devices with sensors and embedded technology that are expected to communicate
- Communication – Networking Component – Helps the things to communicate with other things or the external environment
- Computing – This is done either by mobile devices, desktop or server, based on the amount of data that need to be processed and analyzed
IoT’s Key Components
QA Challenges?
The top challenges and solutions that QA managers can count on are:
The hardware/software union: Devices, sensors, applications and network from the IOT ecosystem. Though, there is a change from absolute QA of applications in a distinct environment to dynamic environment.
With several truckload of sensors and devices providing a combination of experience with intelligent software, sheer functionality validation is not enough in complex IOT environment.
A functioning system is not sufficient
To endorse an IoT system, it is not just enough to only make sure a working device software. This necessitates a very robust testing validation process.
The use cases can be exceptionally complex in real time; the different variety of real-time scenarios can become a dare for QA.
Interactions between huge numbers of sensors:
It is very challenging to build an environment to test a instantaneous IoT implementation.
It involves validating the correctness as well as scalability and reliability assessment of the environment.
The system is built on several analytics engines and requires a significant experience in simulation to build a test environment.
Whereas, the hardware and the protocols are usually tested well by device makers. Understanding application’s intelligence and the device’s real-time complexity is an extremely new art for the IOT application developers and QA experts.
Types of IOT Testing
A meek IoT ecosystem steals a number of software testing tactics from regular QA jargons to test IoT apps.
It is essential to emphasize on all 3 core modules of the IoT system to delight the functional testing and connectivity testing as critical elements of whole IoT ecosystem.
The following kinds of QA have to be performed through the IoT ecosystem:
Performance testing services to check the core computation competences of the embedded software system and cover the swiftness of the communication network model.
Security testing services to cover autonomy, spying and privacy.
Compatibility testing with the possible combination of device version, protocol version, mobile devices and mobile OS version.
Exploratory testing to perform tests from the user’s viewpoint and beyond pre-defined test procedures.
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The IoT environment puts forth an innumerable QA challenges. Significantly, the QA service provider should look at these tasks as opportunities to build appropriate QA solutions.
Let’s discuss IOT Testing in our upcoming blog.
Please feel free to post your suggestions.