Traditional approaches to quality and risk management involve quality gates, change control boards, feature freeze and code freeze milestones, and independent QA or Test groups. These approaches stabilize quality, but sacrifice agility. They don't work for Agile teams. Yet buggy fragile code is even more dangerous for Agile teams where so much is changing so often. This leads to the inevitable question: if the traditional approaches to quality and risk management don't work in an Agile context, what does?

Practices vary across organizations, but all successful teams emphasize the same underlying principles of fast feedback, high visibility, collaboration, and alignment. This talk examines various approaches Agile teams have taken to increase quality, mitigate risk, and ultimately ensure they are delivering the highest possible value for their stakeholders. Along the way you'll hear real world success stories and cautionary tales.

About the Speaker(s)

Elisabeth is responsible for the development of Pivotal's big data solutions. Previously at Pivotal, Elisabeth worked both with Pivotal Labs and on Cloud Foundry. She brings that combination of agile, cloud, and devops experience to the big data products. Under her leadership, the R&D teams have successfully transitioned to an agile, iterative approach, shipping releases of our enterprise-class data products on a frequent cadence. Early in her career, Elisabeth worked at Sybase, where she developed a love of all things Data. Elisabeth is a recognized as a leader in Agile software development and received the prestigious Gordon Pask Award from the Agile Alliance. She is the author of Explore It! from Pragmatic Bookshelf.