Forecasting and Simulating Software Development Projects: Effective Modeling of Kanban & Scrum Projects using Monte-carlo Simulation

by Troy Magennis

Forecasting and Simulating Software Development Projects explains how to effectively model Kanban and Scrum projects to get accurate forecasts of cost, delivery dates and staff requirements. Modeling using Monte-carlo simulation allows rapid what-if analysis to find options that minimize cost and delivery time, whilst maximizing revenue. Simulation lets you hit target delivery dates, and shows the impact of hiring (or losing) staff with certain skillsets, taking software project leadership to a new level of maturity. Target audience and key takeaways - Topics include -

Genres: Software

166 pages, Paperback

First published October 25, 2011

Reviews

[Mauro Botelho · Rating 4 out of 5]

The concepts in the book are very interesting. It requires using FocusedObjective software to run the simulations. This book feels a lot like what a user manual would be for the software in question.

There are no explanations on how the actual simulations are performed, which is expected as it would reveal how the software was written.

[Celso Martins · Rating 3 out of 5]

Using Monte Carlo Simulation to work with software development risks is a nice tool. One of them. But the excessive focus on estimative is annoying. I think that Troy's thought was slightly changed during the recent years.