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Software Sizing, Estimation, and Risk Management: When Performance is Measured Performance Improves

Software Sizing, Estimation, and Risk Management: When Performance is Measured Performance Improves

Software Sizing, Estimation, and Risk Management: When Performance is Measured Performance Improves Hardback - 2006 - 1st Edition

by Daniel D. Galorath

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Hardback. New. Discusses the software estimation, planning, and control process. This book demonstrates problems that make many estimates crumble and solutions that provide successful project plans. It offers insights that enable readers to recognize and avoid downstream impacts resulting from poor estimates.
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Details

  • Title Software Sizing, Estimation, and Risk Management: When Performance is Measured Performance Improves
  • Author Daniel D. Galorath
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 572
  • Volumes 1
  • Language ENG
  • Publisher Auerbach Publications
  • Publication date 2006-03
  • Illustrated Yes
  • Bookseller's Inventory # A9780849335938
  • ISBN 9780849335938 / 0849335930
  • Weight 2.71 lbs (1.23 kg)
  • Dimensions 9.19 x 6.13 x 1.48 in (23.34 x 15.57 x 3.76 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects Risk management, Computer software - Development
  • Library of Congress Catalogue Number 2005058144
  • Dewey Decimal Code 005.1
  • Quantity available 1

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From the publisher

To achieve consistent software project success under the pressures of today's software development environment, software organizations require achievable plans including viable estimates of schedule, resources, and risks. To estimate realistically, you must understand how to apply sound estimation processes, tools, and data. Software Sizing, Estimation, and Risk Management: When Performance is Measured Performance Improves is a practical, hands-on discussion of the software estimation, planning, and control process. This includes critical factors that impact estimates, methods for selecting and applying appropriate measures to projects, proper software sizing, and processes to identify and manage risk. The authors use their expertise in sizing, estimation, process engineering, and risk management to clearly demonstrate problems that make many estimates crumble and solutions that provide successful project plans. The book offers insight not available anywhere else, enabling you to recognize and avoid downstream impacts resulting from poor estimates.

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