How can you create a forecast of the release date of your project without guessing? This book offers an interesting approach using the data available in your project, Scatterplots and Monte-Carlo simulations to steer you away from estimates to a more scientific approach. I have yet to try those ideas with my data, but it addresses many of my concerns I have with other approaches.
The main point of a forecast is that we have to update it as the project goes along. Like in the example of the path of a Hurricane and the updates of the forecasted path that happens every 8 hours by the Hurricane Center. Only when we are able to update our forecasts do they stay relevant. Otherwise they are useless and only prevent us from doing the work to finish the project.
The author wrote another book on this topic (Actionable Agile Metrics for Predictability) where he explained all the theory behind his claims. For me, that book was too often referenced and after the 5x time it was just disappointed that he did not add an excerpt of the main points as an appendix to this book. In addition to this downside, the images did not work on the Kindle, which is bad for a book that relies so much on graphics. Therefore, only 4 stars.