Re:Why software engineering processes and tools don’t work f...
by ska on Wednesday October 14, 2020 @06:45PM
(#24782593)
Fair point, but it's not so clear cut. A lot of process is about effective communication over largish groups and/or over largish times. Neither of these really apply in academic research work most of the time.
On the other hand, there are practices that can save you a ton of time even if you are working alone. In an academic setting this can often mean you just learn the ineffectual techniques of whomever came before you. In this case a small amount of education and change of practice (i.e. process) absolutely can dramatically improve overall lab productiveness. Industry isn't immune at all - especially when treating your "R&D" group quite separately from your "production engineering".
Another thing to remember is that there is no such thing as no process; you have one even if you don't understand it. It can be lightweight and almost invariably you can improve it (thought that's not always worth the time spent)
Most ML projects in industry are leveraging understood techniques in novel ways to build real customer facing products within reasonable investment timelines. To say that one can't provide any scope or estimates on these seems weak.