IoT is one of the most popular areas in programming. Today, many applications are being created that allow you to connect via smartphones, smartwatches, and tablets to the Internet to perform various actions. According to some reports, there are more IoT devices today than people currently living on our planet today. It leads to the emergence of new trends in testing just such software.

What is Internet of Things (IoT)?

IoT stands for Internet of Things and in short is a set of physical objects around you connected to the Internet and exchanging data. They are based on various objects, such as:

Home security (door lock, video surveillance);
Activity trackers (fitness bracelet, sugar sensor);
Industrial Security and Estate Safety;
Appliances (smart sockets, kettles, vacuum cleaner);
Motion and temperature sensors, etc.

Judging by the volume of planned investments by giant companies, the number of IoT devices will increase several times in the next few years. It will make human life more straightforward, convenient, and safer. It is assumed that in the next few years in developed countries they will be present in every home and in poor countries people will have access to basic needs.

Main trends in IoT testing

The Internet of Things is rapidly evolving, which leads to testers being forced from time to time to change their approach to work. Consequently the approach to IoT app testing, firstly, is difficult to overestimate, and secondly, it requires more and more qualified personnel, not only just in testing, but also in management or business analytics.

As a business owner, you should already be able to independently understand the process of testing your own software in order to adequately evaluate the results. However, deeper and more thorough testing can only be carried out by a team of QA specialists, which is ready to advise your company in order to improve the quality of its products that can be found at the link —

1) Network Security Issues

All applications possessing an Internet connection face the imminent threat of hacking: a breach that can potentially allow access to users' bank accounts or compromise their personal data. Consequently, prioritizing security issues is not merely important it's imperative. It's worth noting — IoT security presents a significantly greater complexity than that associated for desctop apps and smartphones.

Specialists often employ techniques identical to those of hackers during tests, actively seeking vulnerabilities. This proactive approach permits them to rectify these issues in the developmental stage. To safeguard personal data today, utilizing encryption remains the most reliable method.

2) Big Data Testing

Each IoT application generates and processes a substantial volume of data. Testers can face significant challenges due to the size, value, variety and variability of this data. Different test methods are necessary for each dataset in areas such as data ingestion, transfer, integration, standardization and API setting etc.

Specialists must employ specialized code review techniques for this kind of testing. QA testers need to utilize a myriad of tools ranging from basic diagnostics, all the way up to complex algorithms in order to gauge the application's capacity for handling varied data types. As their analysis delves deeper the errors during operation become increasingly unlikely.

3) Microservice test automation

At a tremendous pace, IoT applications evolve so this evolution necessitates scaling. It may be assumed that traditional testing methods will soon struggle to cope with the escalating volumes of work, hence there is an imminent rise in demand for automated testing of microservices. This enables a more profound analysis of the software.

Both manual and automated testing constitute the traditional QA process flow. Many people due to its high cost only partially utilize automated testing as the second type of evaluation. Recent studies have unveiled a crucial finding that to attain a high-quality product one must significantly amplify their use of automated tests. Moreover, additional tools tailored for IoT are indispensable.

4) Testing for a wide range of interfaces

IoT devices offer a variety of test scenarios and cases: one can test chips and sensors, explore various connection protocols, devices or integrations. Take for instance the accessibility of video streaming sites such as Netflix and Amazon Prime on multiple platforms from HDTV to smartphones even including game consoles. Therefore, testing these video streaming features across all available platforms becomes not just important but imperative.

Ensure you scrutinize the page's display on various devices, its download speed, functionality and stability. These are just a few factors needing evaluation. The software should deliver consistent quality across all utilized devices.

5) Testing wireless scenarios

Today, the user can work with IoT thanks to wireless connections. Most often, technologies like Wi-Fi, ZigBee and 3/4G LTE serve this purpose today; however, their number is expected to proliferate shortly. One must consider the need for tools to assess diverse wireless connection qualities. A uniquely designed approach that ensures continuous data transfer between a device and server or multiple devices tomorrow – will prove essential in maintaining optimal IoT functionality. Experts must verify the support of communication using IoT protocols - Z-Wave, Wi-Fi Bluetooth, XMPP MQTT, CoAP protocol and others; all connections should function flawlessly without exception.


We anticipate a rapid development of the Internet of Things (IoT) in upcoming years. Developing new, adaptable testing strategies to cater to the market's frequently changing needs is essential for ensuring only high-quality products enter circulation. As such, when evaluating IoT applications, we must consider this industry's development strategies and promptly react to innovations. We must to conduct swift studies on missed opportunities and errors with an aim towards immediate elimination.