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Software Estimation Demystifying the Black Art

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McConnell, Steve

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Software Estimation Demystifying the Black Art, ISBN 9780735605350 Own This Book? Sell It
ISBN-13:

9780735605350

ISBN:

0735605351

Pub Date: 2006
Publisher: Microsoft Press Summary: A practical guide for software developers and development teams, this book features effective and understandable formulas, procedures, and heuristics to help organizations improve their project cost estimates. 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 es [read more]
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Product Details
ISBN-13:

9780735605350


ISBN:

0735605351


Pub Date: 2006
Publisher: Microsoft Press

A practical guide for software developers and development teams, this book features effective and understandable formulas, procedures, and heuristics to help organizations improve their project cost estimates. 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.

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