Testing Internet of Things – QA Unleashed

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 grab the IoT ground, QA vendors must view software testing further than devices and sensors, and think holistically about technical complexity that comes with the enormous volumes, velocity and variety of data generated across a smart 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 testing 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 working system is not sufficient: To endorse an IoT system, it is not enough to only ensure a working set of device software. This necessitates a very robust QA 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.

A number of sensor interactions: It is very challenging to create an environment to test a real-time 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.

IOT Testing Types

A meek IoT ecosystem steals several software testing approaches from regular QA jargons to test IoT apps. It is essential to focus on all three core components of the IoT system to delight the functional and connectivity testing as critical elements of overall IoT ecosystem testing.

The following types of testing must also be performed across the IoT ecosystem:

Performance testing to cover the swiftness of the communication network model, as well as the internal computation capabilities of the embedded software system.

Security testing that covers privacy, autonomy and spying.

Compatibility testing with the possible combination of device version, protocol version, mobile devices and mobile OS version.

Exploratory testing to test from the user’s perspective and beyond predefined test procedures.

The IoT ecosystem puts forth an innumerable QA challenges. Importantly, the QA vendor should view these challenges as opportunities to build appropriate QA solutions.


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