Data-Driven Software Testing: The New, Lean Approach to Quality
The Internet of Things and always connected devices are generating exabytes of user data and device telemetry. Organizations worldwide are leveraging this data for new products and new business insights, but this data is also fundamentally changing how organizations drive, assess, and improve product quality. Testers have traditionally relied on test results, but, with additional data sources now available to testers, the testers’ ability to process these is expanding like never before. Data-driven quality (DDQ) strategies such as Testing in Production (TiP) are essential tools for most testers. But the questions are: How do you implement these strategies to benefit your specific product? How do you convert testers into data scientists? How do A/B testing, continuous delivery, and creating products from service components drive us to a leaner and better approach to quality? Ken Johnston answers these questions and more in this insightful session.