SeaStar Quality Conference 2023

Industries can now quickly develop IoT solutions that connect things, collect data, and derive knowledge. This directly leads to reduced costs, productivity increase and increased revenue. Almost all industries have been utilizing IoT and this has changed the customer experience extensively. As an example, in the automotive industry, the cars are tied to IoT, and this has turned data into actionable insights. The data comes from both inside the cars as well as from the outside world. Collaborating with fields like AI, Data analytics and cloud, autonomous driving has turned drivers into passengers, thus opening a huge opportunity for new goods and services. Since IoT can make a difference between life and deaths, like driverless cars or healthcare, the testing has never become so challenging. IoT produces a Variety of data and in huge volumes, and the first biggest challenge lies here. Enterprises find it quite challenging owing to these factors. Add to these external factors like heterogeneous environments and complexity in the working of a number of components and testing becomes more difficult. Due to large-scale IoTsystems and connected devices, enterprises also find it difficult to develop, deploy, integrate and scale applications.

Other Issues before testers

1. Testing across various cloud platforms
2. IoT data protocols testing
3. Security threats
4. No Standardization — lack of standard testing procedures at all levels.
5. Dynamic environments Solutions:

Solution explained:

1. Protocol and device interoperability testing – tests performed across different standards and specifications
2. Security and privacy testing
3. Network Impact – Testing Real IoT application in a real network, with factors like Network size, topology and environment Conditions
4. Performance testing – load testing and 4V testing
5. End User application testing – Usability and user experience