  Continuous software engineering has become commonplace in numerous fields.
However, in regulating intensive sectors, where additional concerns needs to be
taken into account, it is often considered difficult to apply continuous
development approaches, such as devops. In this paper, we present an approach
for using pull requests as design controls, and apply this approach to machine
learning in certified medical systems leveraging model cards, a novel technique
developed to add explainability to machine learning systems, as a regulatory
audit trail. The approach is demonstrated with an industrial system that we
have used previously to show how medical systems can be developed in a
continuous fashion.
