Today there is increasing need to deliver better and faster services. There is a huge demand to access, create, use and share data from any device. The thrust is to provide greater insight and control, over various interconnected IOT devices.
Welcome to the era of the Internet of Things (IoT), where digitally connected devices are encroaching on every aspect of our lives, including our homes, offices, cars and even our bodies. With the advent of IPv6 and the wide deployment of Wi-Fi networks, IoT is growing at a dangerously fast pace, and researchers estimate that by 2020, the number of active wireless connected devices will exceed 40 billion.
Challenges of IOT testing
- You need to check both the network and internal communication
- Security is a big concern in IOT platform as all the task are operated using via Internet.
- The complexity of the software and system may hide bug present in the IOT technology
- Resource considerations such as limitations in memory, processing power, bandwidth, battery life, etc.
Best practices for effective IOT software testing
- Gray Box testing should be used with IOT testing as it allows to design effective test case. This allows you to know the OS, the architecture, third-party hardware, new connectivity and hardware device limitation.
- Real Time Operating System is vital to delivering the scalability, modularity, connectivity, security, which is important for IOT
- IoT Testing should be automated.
- Gain security assurance, from chip-to-cloud, that enables your business to accelerate innovation and move to scale with confidence.
- Position your IoT products as the most secure in the market, using security as a competitive advantage to enable sales and marketing teams.
- Leverage industry recognized verification standards, which normalize the range in coverage and level of rigor applied to each IoT security evaluation.