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Re:Suppose I wanted to kill a lot of pilots by ethbr0 on Saturday July 03, 2021 @12:04PM (#27722563)
The best framing I've heard for this problem is: minimum time for each component is bounded, maximum time is unbounded. I.e. there is effectively no answer to the question "If this component becomes a problem, what is the maximum amount of time it could take to solve it with the resources available?"

Ergo, in the worst case, any given single component's ballooning time can dominate the overall project schedule.

Which turns estimation into a game of "How certain am I that no component's time will explode?" To which the answer in any sufficiently complex system is "Not very."

I'm pushing my work to move to something more like a converging uncertainty plot, as milestones are achieved and we can definitely say "This specific component did not explode."

Our PMs aren't used to hearing an idealized minimum schedule time + an ever decreasing uncertainty percentage based on project progress, but it feels like less of a lie than lines in the sand based on guesses.

(Note: This is for legacy integration development, which probably has more uncertainties than other dev)

Re:Suppose I wanted to kill a lot of pilots by bumby on Saturday July 03, 2021 @01:56PM (#27723470)
One interesting thing to also account for is the correlation between activities regarding cost or schedule impacts. Meaning the uncertainty analysis should also account for systemic effects where a ballooning of one item’s will also cause another item’s schedule to increase by some correlated amount