Expertise in Full Suite of QA and IoT Testing Services
Internet of Things Testing (IoT) is the fastest growing sector in the Testing World. According to a report from McKinsey, by 2020 there will be over 30 M devices through IoT (Internet of Things). The IoT is essentially a web of physical objects that are embedded with sensors; various software that interact with each other by collecting and exchanging data. For over two decades, organizations and businesses have been adopting IoT solutions to offer benefits like cost optimization, improved efficiency and enhanced user experience, but in the last decade or so, the innovative onslaught of IoT has come to the forefront with things like self-driving cars, home automation solutions, smart medical devices, etc. catching the attention of end users.
In terms of software testing requirements, the Internet of Things brings many new things to the table, including a major emphasis on unusual device types, such as home appliances, thermostat interfaces, and watch sensors. The unique characteristics and complex architecture of IoT Systems call for various type of IoT testing to check IoT devices. Hence, QA teams must carefully define a test strategy to effectively meet the quality standards of these innovative products.
With an increasing need to deliver better and faster services, there is a push to provide greater control and insight over various interconnected IoT devices. This further results in a demand to create, access, use, and share data from any IoT device. Hence a QA organization has to have a robust IoT Testing framework in place to carry out the Internet of Things (IoT) testing.
IoT Testing Services at ImpactQA:
Testing for IoT devices broadly revolves around Analytics, Security, Operating Systems, Device, Networks, Processors, Platforms and Standards.
Usability and User experience is an important part of any testing. Internet of Things (IoT) testing is no exception since it involves the use of a number of devices of different shape and screen size, resolution and OS version that is used by the end users. ImpactQA has a proprietary checklist to perform UI / UX testing.
There could be hundreds of devices connected through the IoT system each carrying varied software and hardware configuration making the possible combinations of software & hardware, huge. It is thus important to ensure that these devices, sensors and IoT devices are compatible with each other.
Reliability and Scalability Testing:
Reliability and Scalability are important for building an Internet of Things (IoT) test environment which involves simulation of sensors by utilizing virtualization tools and technologies.
Data Integrity Testing:
It’s important to check the Data integrity in the Internet of Things (IoT) Testing as it involves a large amount of data and its application. The devices interact with each other and there is data exchange. Format of data and the sanctity of data need to be tested. For e.g. the data could be from sensors received via TCP/IP protocol over MQTT or HTTPS protocol over Rest APIs.
In the IoT environment, there are many users accessing a massive amount of data. Thus, it is important to validate the user via authentication, have data privacy controls as part of security testing. Encryption and decryption and device identity authentication are key aspects.
Performance testing is important to create a strategic approach for developing and implementing an IoT testing strategy. Load testing under the extremes of data volume and complex aspects like timing analysis and velocity have to be taken into consideration.
Protocol and Device Interoperability Testing:
This involves assessing the ability to seamlessly interoperate devices and protocols across different standards & specifications. This testing is important as IoT devices interact and exchange a lot of data with each other using various protocols.
Core Challenges in the Internet of Things (IoT) Testing:
The fact that IoT systems have unique characteristics and requirements compared to other software applications, IoT Testing poses its own challenges:
It’s difficult to gain access to the real devices given that there could be hundreds of such devices. It’s hard to replicate a real-time environment. Unlike QA for application testing, the environment for the Internet of Things (IoT) testing is dynamic with millions of sensors, hardware devices and complex software interacting with each other.
There are plethoras of complex use cases that need to be tested and that can make testing extremely complex. It can sometimes be difficult or impossible to replicate unusual scenarios. It is sometimes difficult to create test cases and test data for specific scenarios.
Quality of hardware and devices may also impact the quality of testing. The complexity of the hardware and devices system may hide bug present in the IoT technology.
Although service virtualization can help in setting up test environments, scalability and reliability is always a challenge in the case of the Internet of Things (IoT) testing.