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Why software projects take longer than you think – a statistical model

erikbern.com

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Re: Why software projects take longer than you think – a statistical model

#4
I believe this is the reason why scrum uses story points instead of time estimate. By putting uncertainty on the same level as effort, you give it more weight. And using a fibonacci sequence rather than a continuous amount with the rule you should round up if unsure tend to correct those defects.

Re: Why software projects take longer than you think – a statistical model

#6
This is why I like 3 point estimation[1] - if you have optimistic, expected and pessimistic estimates for each task you can pull out which points are high risk. Using a single estimate can't give you that insight.

[1] https://en.wikipedia.org/wiki/Three-point_estimation

Re: Why software projects take longer than you think – a statistical model

#7
post #5

My rule of thumb: take your estimate, double it, then add 20%. I'm not joking.

An approach that gives very similar results to yours but is more scientific is to multiply the initial estimates by e (2.718). Or, if you're conservative, then by pi.

Re: Why software projects take longer than you think – a statistical model

#8
post #5

My rule of thumb: take your estimate, double it, then add 20%. I'm not joking.

Eh. I've been successful adding 20% in. I feel like if you have to double first (meaning your end result is 220% of what you originally estimated) then you aren't learning from previous mistakes. Maybe 220 is appropriate for the first time you do work or work with a certain team tho.

Re: Why software projects take longer than you think – a statistical model

#9
post #6

This is why I like 3 point estimation[1] - if you have optimistic, expected and pessimistic estimates for each task you can pull out which points are high risk. Using a single estimate can't give you that insight. [1] https://en.wikipedia.org/wiki/Three-point_estimation

manager: "thanks for the optimistic estimate!"
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