I have no data to back that up though.
Why software projects take longer than you think – a statistical model
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Re: Why software projects take longer than you think – a statistical model
#12This 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!"
Re: Why software projects take longer than you think – a statistical model
#13My rule of thumb: take your estimate, double it, then add 20%. I'm not joking.
Re: Why software projects take longer than you think – a statistical model
#14My rule of thumb: take your estimate, double it, then add 20%. I'm not joking.
Sadly, managers want to believe that you put more effort into estimating deadlines so I'll just whip up a gannt chart retroactively based on the 2/20 rule and they're happy.
Re: Why software projects take longer than you think – a statistical model
#15Re: Why software projects take longer than you think – a statistical model
#16I 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
#17My 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
#18Here is the link to the time estimation described above with Beta distribution. https://www.isixsigma.com/methodology/project-management/bet...
Re: Why software projects take longer than you think – a statistical model
#19My rule of thumb: take your estimate, double it, then add 20%. I'm not joking.