A team in my company is trying to fit testing into a project around ML deliveries and DevOps. I want to get them in a more up to date direction.
First of all, that test happens everywhere:
Secondly something more related to Modern Testing Principles by Melissa Eaden, re: the role of the Data analyst: Inspired by Alan Page’s TestBash Brighton talk and his AMA on Modern Testing, Melissa gave us her interpretation of Alan Page and Brent Jensen’s Modern Testing Principles. In this article, there is also a handy graphic of the principles for you to download, print off and stick up.
They have shown me this drawing:
Perhaps something on testing ML applications too? What can you recommend?