Often referred to as the "black art" because of its complexity and uncertainty, software estimation is not as hard or mysterious as people think. However, the art of how to create effective cost and schedule estimates has not been very well publicized. While the average software organization can struggle with project costs that run double their original estimates, some of the more sophisticated organizations achieve results with estimation errors as low as 5-10%. These best-in-class organizations use scientific techniques that are not cost-effective, however, making them of limited use to most software development organizations. To address these issues, Software Estimation focuses on the art of software estimation and provides a proven set of procedures and heuristics that software developers, technical leads, and project managers can apply to their projects. Instead of arcane treatises and rigid modeling techniques, award-winning author Steve McConnell gives practical guidance to help organizations achieve basic estimation proficiency and lay the groundwork to continue improving project cost estimates. This book is organized from simple tips to more advanced ideas; it does not avoid the more hairy mathematical estimation approaches, but the non-mathematical reader will find plenty of useful guidelines without getting bogged down in complex formulas.
Author: Steve McConnell
Publisher: Microsoft Press
Customer Reviews
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Science of software estimation
Steve McConnell explains how software estimation is more a science than an art. Information in this books can applied to agile development as well to the classical approach. So if You struggle (I'm sure You do) with estimation, this is excellent book for You, it doesn't matter whether You are a developer or a manager.
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A Must Have Resource
Basic premise: that "the goal is software estimation is not pinpoint accuracy but estimates that are accurate enough to support effective project control. To that end, a "good estimate" is one that "provides a clear enough view of the project reality to allow the project leadership to make good decisions about how to control the project to hit its targets."
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<br />Software estimation is inherently nontrivial. The resulting product is virtually invisible until it is finished---and you rarely end up with the same product that you initially estimated anyway. Early on, requirements are difficult to state (and measure) precisely, and as Rittel stated "the true nature of the problem only emerges as a solution is developed."
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<br />Many PM's still believe that estimates are based on multiples of a gut feel. However, the ambiguous nature of software reality requires multiple and varied quantitative methods just to define the estimate space in terms of order of magnitude.
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<br />This book provides a basic and superficial description of a number of these methods, including how and when to best apply them. It is an excellent primer to reading other more exhaustive texts (such as Stutzke's Estimating Software-Intensive Systems) and an indispensable desk-reference for Program Managers, Project Managers and Parametricians. Highly recommended.
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