I always thought it was because we really couldn't break the applications down without massive dependencies and the complexity of human procedures brought to th

I always thought it was because we really couldn't break the applications down without massive dependencies and the complexity of human procedures brought to the computer's logical world. It seems like folks who've built some form of common bus (shared data types and communications channels) do better scaling applications. If I can effectively split off a part of the application and plug a new part in its place, I can scale. OOP seems to love dependencies that accumulate until objects cannot be replaced because of all the connections. Clean separation is a hard problem. Computers are logical machines. Human laws and regulation are not. Modeling physics is an easier problem (programming not computing need wise) than calculating taxes. At one point in the US, every gallon of bio-diesel had to have its own serial number[1], this adds a level of complexity that goes beyond simple programs. My own thoughts (or my longtime hobby project) is that Agent oriented programming hasn't really been given a workout, and that decoupling data structures might lead to some improvements. I honestly think being able to replace parts of a running program in an orderly manner might be a indicator of a good direction. 1) https://mnbiofuels.org/media-mba/blog/item/1495-rins-101 https://mnbiofuels.org/media-mba/blog/item/1495-rins-101 - as a programming exercise, write a program to add, subtract gallons from a storage unit - it gets fun.