full-stack agile: experiment with estimating

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Ashley-Christian Hardy Experiment with Estimating 3 2 5 5

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Page 1: full-stack agile: Experiment with Estimating

Ashley-Christian Hardy

Experiment with Estimating

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Page 2: full-stack agile: Experiment with Estimating

Hi, I’m Ashley-Christian Hardy

In Progress…

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Page 3: full-stack agile: Experiment with Estimating

Story Points1

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Story Points – where you measure the complexity of a user story based on comparison. This method often uses the Fibonacci sequence and a game called Planning Poker.

Page 4: full-stack agile: Experiment with Estimating

Ideal Man Days

Ideal Man Days – this is where you try to estimate based on an ideal day; with no interruptions and work is completed efficiently.

Page 5: full-stack agile: Experiment with Estimating

Task Decomposition

Task Decomposition – this method is where you would break a user story down into small tasks and try to estimate each little part of work that needs to be completed.

Page 6: full-stack agile: Experiment with Estimating

Parametric Estimate

Parametric Estimating – this uses statistical relationships between data and other variables, for example estimating volume by number of lines of code, multiplied by complexity multiplied by time.

Page 7: full-stack agile: Experiment with Estimating

3 Point Estimate

13 Point Estimate – this is where you make an estimate based on previous experience, and come out with 3 outputs: best case scenario, worst case scenario and probably scenario. These are combined to give a probability for completion.

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Page 8: full-stack agile: Experiment with Estimating

Experienced Senior Programmer Days

Experienced Senior Programmer Days – This is where you estimate what you think an experienced programmer would estimate, this is similar to ideal man days, only you are estimating what someone else would estimate.

Page 9: full-stack agile: Experiment with Estimating

The Experiment

Page 10: full-stack agile: Experiment with Estimating

Thank you!

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