An open source project called Code_Swarm
has come up with an animated process video outlining the
various ways open source projects get started and are refined.
Ogawa calls Code_swarm an example of "organic information
visualization," which turns data into a living, breathing
system. He chose music videos as a model for the final product
because they are short, dynamic and interesting, in contrast with
most academic videos, he said. ed.z.: Well, shoot, just take
this thing for a spin. Extrapolate. You could use this for some
really spiffy predictive analysis, by working backwards from
several different successful and not so successful projects, and
then design the perfect project (or fix currently running
projects faster/better/cheaper), correlate devs/techniques/styles
and run odds on probable wildcards to give you time scales that
could be run by the VC guys (if you needed them). Perhaps.
Yes, you could do it all with text the normal way industry chart
wizard analysts work (that is different from the quants massive
manipulation fast trade type software I think), but this way you
could run a buhzillion wargaming simulations, limited just by
your hardware and how many different variables you want to use
per run, balancing the human factor with the regular outside
influences, whether it is a tangible or intangible product, a
delivered service, political/social outcomes, your market vector
(or even determining that once you have some amazing idea and get
stuck at that point) and so on, man, a huge list of things there.
It's sort of cool, a fast social modeling variant that you
could throw geometry at. Heh, I guess the music could be for
funzies at that point... And you can obviously take it beyond
code development, use it anyplace really, as long as you get good
data in, as the old saw cuts.
For some reason this reminds me of Dirk Gently's Holistic
Detective Agency, where one character wrote a program to take
any spreadsheet and turn it into a MIDI tune. The Japanese
conglomerates loved it (written back in the 80's when Japan
had double-digit growth) but no one else seemed to take the same
pleasure in it. I can imagine that Python and other popular
projects produce pleasing pictures. Others may not be so lucky.
Visualizing Open Source Development
An open source project called Code_Swarm has come up with an animated process video outlining the various ways open source projects get started and are refined.
Ogawa calls Code_swarm an example of "organic information visualization," which turns data into a living, breathing system. He chose music videos as a model for the final product because they are short, dynamic and interesting, in contrast with most academic videos, he said. ed.z.: Well, shoot, just take this thing for a spin. Extrapolate. You could use this for some really spiffy predictive analysis, by working backwards from several different successful and not so successful projects, and then design the perfect project (or fix currently running projects faster/better/cheaper), correlate devs/techniques/styles and run odds on probable wildcards to give you time scales that could be run by the VC guys (if you needed them). Perhaps.
Yes, you could do it all with text the normal way industry chart wizard analysts work (that is different from the quants massive manipulation fast trade type software I think), but this way you could run a buhzillion wargaming simulations, limited just by your hardware and how many different variables you want to use per run, balancing the human factor with the regular outside influences, whether it is a tangible or intangible product, a delivered service, political/social outcomes, your market vector (or even determining that once you have some amazing idea and get stuck at that point) and so on, man, a huge list of things there. It's sort of cool, a fast social modeling variant that you could throw geometry at. Heh, I guess the music could be for funzies at that point... And you can obviously take it beyond code development, use it anyplace really, as long as you get good data in, as the old saw cuts.