Modelling For Continuous Testing

Teams striving to “do” DevOps and test continuously often reach for nearby tools, without first fixing their mindset and techniques. This often backfires long-term, as sticking-plaster solutions introduce anti-patterns, uncertainty, and repetition to tight sprints. Monolithic automation frameworks break and need fixing as developers make changes to systems coded using more modern techniques. Further maintenance emerges as tests, data and environments become misaligned. And has anyone stopped to consider how well you understand the system being developed, given its complexity exceeds human comprehension and has been reflected in the bewildering pipelines designed to test it?

This webinar will consider how you can apply a DevOps mindset to Continuous Testing, before exploring tools and techniques to support it. It will discuss how you can componentise vastly complex systems into understandable chunks, while mapping each component to the automation, data and environments needed to test it. You will see how cross-functional teams can combine reusable models to map complex systems, while generating tests, data and environments for in-sprint testing. As complex systems change, updating individual models and automation libraries regenerates rigorous tests, maintaining both the living documentation and aligned artifacts needed for Continuous Testing.