4 ms·

Thanks. This sounds interesting. Can you give a bit more colour on "notionalizing" and "isomorphically faking" please.

• cuuupid 4y ago
  Essentially creating fake data that looks very realistic and creates narratives that would span real use cases. Some of this is simple (fake names with faker), some of it is a bit more manually guided (customer-specific terminology and specific business logic). The goal here is for the data to both be useful for testing and provide coverage not just at a software level, but at a user story level. This helps test things like cross-application interactions; is also doubly helpful since we can use it for demos without screwing up production data.