A well-designed and tested IoT product should successfully help customers save money based on the information the system produces – but what can that look like for a real customer, and how can testing be done in the project?
In this talk, I will present a case study for a customer who produces metal-pressing machines for the can industry. The customer’s aim is to reduce unnecessary support visits to production sites: by measuring various parameters of the machine, they can determine whether the support case may have been caused e.g. by changing the thickness of the metal.
The system involves attaching various sensors to the machine which send data to the cloud. Aggregated data can be displayed in a form understandable by customer representatives.
During the talk, I'll explain how quality was included from the outset. I’ll look at which quality attributes beyond functionality were important, and describe how they were tested / reviewed. Participants will hear how testing was done, and what remains to be done for quality in such systems.