Software Estimation: Demystifying the Black Art. Steve McConnell

Software Estimation: Demystifying the Black Art


Software-Estimation-Demystifying.pdf
ISBN: 9780735605350 | 629 pages | 16 Mb

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  • Software Estimation: Demystifying the Black Art
  • Steve McConnell
  • Page: 629
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9780735605350
  • Publisher: Microsoft Press
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<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&#x97;including rigid modeling techniques and continuous feedback loops that are not cost effective to most organizations&#x97;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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I highly recommend Software Estimation: Demystifying the Black Art to anyone who needs to estimate a software project or would like to know more for future  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 - AbeBooks
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Software Estimation Demystifying the Black Art. 6 likes · 0 talking about this. Book . 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  Software Estimation: Demystifying the Black Art (Best - Amazon.com
Software Estimation: Demystifying the Black Art (Best Practices (Microsoft)) [Steve McConnell] on Amazon.com. *FREE* super saver shipping on qualifying offers  Software Estimation: Demystifying the Black Art - Steve McConnell
Software Estimation: Demystifying the Black Art. Redmond, Wa.: Microsoft Press, 352 pages, 2006. Retail price: $39.95. ISBN: 0735605351. Order paperback or  Software Estimation: Demystifying the Black Art (Best Practices)
Unlike other books that focus exclusively on the science of estimation—including rigid modeling techniques and continuous feedback loops that are not cost  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



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