Software Estimation: Demystifying the Black Art. Steve McConnell
Software-Estimation-Demystifying.pdf
ISBN: 9780735605350 | 629 pages | 16 Mb
- Software Estimation: Demystifying the Black Art
- Steve McConnell
- Page: 629
- Format: pdf, ePub, fb2, mobi
- ISBN: 9780735605350
- Publisher: Microsoft Press
Pdf files free download books Software Estimation: Demystifying the Black Art by Steve McConnell
<p>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.</p> <p> From the Publisher</p> <p> Unlike other books that focus exclusively on the science of estimation—including rigid modeling techniques and continuous feedback loops that are not cost effective to most organizations—this unique guide offers practical, tested, hands-on advice for estimating software development costs in the real world. It is written by the award-winning author of Code Complete. <p>Key Book Benefits: <p>Delivers practical insights about a critical subject too-often obscured by academic jargon Two-color graphics present mathematical information in an easy-to-understand format Provides specific practices that can be used immediately by any software development organization Features numerous, to-the-point tips about the estimation process, as well as individual steps to creating successful estimates </p>
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By Steve McConnell Published by Microsoft Press (http://oreilly.com/catalog/ 9780735605350) Often referred to as the “black art” because of its complexity and
Software Estimation: Demystifying the Black Art - Microsoft Dynamics
Steve McConnell is recognized as one of the premier authors and voices in the development community. He is Chief Software Engineer of
The Joel on Software Discussion Group (CLOSED) - Software
Sure someone else sees the irony about having Microsoft publish that proposes to clear up the software schedule estimation process.
Software Estimation: Demystifying the Black Art - ACM Digital Library
A practical guide for software developers and development teams, this book features effective and understandable formulas, procedures, and heuristics to help
Software Estimation: Demystifying the Black Art - The Book Depository
A practical guide for software developers and development teams, this book-- written by an award-winning author--features effective and
Software estimation: demystifying the black art - Google Books
Often referred to as the “black art” because of its complexity and uncertainty, software estimation is not as difficult or puzzling as people think. In fact, generating
Software Estimation: Demystifying the Black Art : Steve McConnell
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Software Estimation: Demystifying The Black Art - LockerGnome
Often referred to as the “black art” because of its complexity and uncertainty, software estimation is not as hard or mysterious as people think.
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