Textbook Discounter: Computer: Software Estimation: Demystifying the Black Art (Best Practices (Microsoft))

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Software Estimation: Demystifying the Black Art (Best Practices (Microsoft))
	Author: Steve Mcconnell Publisher: Microsoft Press Category: Book List Price: ~~$39.99~~ Buy New: $16.98 You Save: $23.01 (58%) New (38) Used (10) from $16.96 Rating: 34 reviews Sales Rank: 24921 Media: Paperback Pages: 308 Number Of Items: 1 Shipping Weight (lbs): 1.6 Dimensions (in): 8.8 x 7.3 x 1 ISBN: 0735605351 Dewey Decimal Number: 005.1 UPC: 790145053510 EAN: 9780735605350 ASIN: 0735605351 Publication Date: March 1, 2006 Availability: Usually ships in 1-2 business days Shipping: Expedited shipping available Shipping: International shipping available Condition: Brand new may have remainder mark or slight shelfwear


Editorial Reviews: Product Description 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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