Using Data Analytics to Improve Software Development-Testing for Safety Related Embedded and IoT Devices

Embedded software is everywhere today, at the same time the IoT (Internet of Things) is poised to become the next growth area for software development and testing. In the next years, tens-to-thousands of billions of IoT/embedded devices will be connected to the internet, which could possibly impact people's well-being, health and safety.

Jon starts by examining how safety impacts IOT/embedded devices. Data produced by these devices is considered for how it can be used in analytics in development and testing to determine software risk areas and test patterns. Availability of data from devices is growing. Jon examines how teams can leverage data to address safety related challenges and testing, thus offering higher quality products to market. He examines how to mine and organize the data using concepts such as mind maps, taxonomies, and mathematical AI filtering of data statistics. Jon examines real world test patterns based on data to optimize the development and testing process.