Conal Scanlon on Monte Carlo Mapping
This is the Engineering Culture Podcast, from the people behind InfoQ.com and the QCon conferences. In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Conal Scanlon about his talk at QCon New York on Monte Carlo Simulation for forecasting feature development Why listen to this podcast: • Knowledge work is inherently variable, and estimates are inevitably incorrect • Monte Carlo simulation projects likely completion based on past history rather than future guesses • A small set of real data points is extrapolated to 1000 samples and that is used to produce a probability curve • A forecast is a point in time situation – as teams get better at delivery their predictability should improve • Everything in the delivery process should be subject to change as it is continuously improved More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2kneWJM You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVq Subscribe: www.youtube.com/infoq Like InfoQ on Facebook: bit.ly/2jmlyG8 Follow on Twitter: twitter.com/InfoQ Follow on LinkedIn: www.linkedin.com/company/infoq Want to see extented shownotes? Check the landing page on InfoQ: http://bit.ly/2kneWJM