In these series of videos, Dr. Kevin Thompson compares and contrasts Agile projects with Waterfall projects and shows the affects of each when facing uncertainty. Kevin conducts a methodology experiment and shows why Agile projects succeed when others fail.
How Uncertainty Works
All estimates are subject to uncertainty, and project schedules are no exception. A schedule consists of a set of tasks, which are executed at times dictated by dependencies and resources. The simplest schedule, consists of a set of tasks that are executed one after the other.
The schedule for a project contains uncertainty because the estimated effort or duration of each task has some uncertainty associated with it. We would really like to know exactly how long a task will take. If we can’t know that, we would at least like to know how much uncertainty is associated with the task. Unfortunately, we will never know the first, and usually will never know the second, either. (The exception to the latter rule is for tasks that are repeated, identically, enough times for us to collect meaningful statistics about them.) Read the full article about Estimation and Uncertainty.
Please Watch Parts 2 Through 5 Below:
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