The software profession took clear steps forward during the 1960s. Software had become essential to
U.S. military defense, not to mention IBM, and, with the imperative to go to the Moon, there appeared money and interest enough for methodologists to ponder what type of professional processes could lead to predictable, successful and repeatable outcomes.
[Stubbs to pursue… But some of it was comical. There was the crush of methodologies (each one a method that went to college ..) the advent of the software engineer (someone you could put in jail, or at least disbar, if their software killed someone) and the software architect (Paging Mr. Art Vanderlay!)]
With the data scientist, we take another step on the winding road to professionalism. Are they really scientists? And doesn’t it turn out in the end that their statistics are found in want if not couched in a more liberal, humanistic understanding of the context of data?
Meanwhile, I'm still thinking... Devops is a counter balance to the CASE methodlogies (worst of them), right?]