Tackling property data with readable code

A lot of our team’s day is spent reasoning about property data and municipal workflows. That’s why it is vital for us to present the real-world rules influencing our system as clearly as possible when writing code. Our focus on readability has made it easier to maintain and extend our code base while modeling a complex domain.

This talk gives insight into how we have applied domain modeling with functional programming at Norkart, a Norwegian technology company specialized in spatial and property data. We’ll look at examples of how we’ve used techniques such as Event Sourcing, pattern matching and different testing strategies to achieve correctness and readability in a complex, real world application with high quality standards.