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InfoQ Homepage Presentations Better Project Forecasts without Estimates – The Monte Carlo

Better Project Forecasts without Estimates – The Monte Carlo



Adrian Fittolani introduces the Monte Carlo Simulation, an empirical mathematical method used to estimate project timelines.


Adrian Fittolani is a father, a runner, a developer, a guitarist, a handyman, a speaker, a sports coach, a dressmaker, a husband, a mechanic, a trainer and the Program Director at Envato. He considers himself to be good at only three of these things. A different three, depending on the week. He has a 16 years career in software, and is a member of Melbourne’s tech and agile community.

About the conference

Bringing together technology leaders from across Australia, the Agile Australia 2016 audience is a mixture of project and team leaders, coaches, software developers, testers, business analysts and the executive managers from the biggest enterprises to the youngest startups.

Recorded at:

Nov 06, 2016

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Community comments

  • There is a way to estimate the number of stories for your new project

    by Dimitar Bakardzhiev,

    Your message is awaiting moderation. Thank you for participating in the discussion.


    You advised the audiernce to consider that number of stories are input to Monte Carlo simulation.

    In this InfoQ article I present how to forecast the number of stories for your project.


  • Spreadsheet Link

    by Adrian Fittolani,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    From Adrian (the presenter) - Here's a link to the written accompaniment to this talk. It contains access to the spreadsheet I mention for you to copy and try for yourself.

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