Software Estimation: Demystifying the Black Art: Demystifying the Black Art [NOOK Book]

Overview


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 accurate estimates is straightforward—once you understand the art of creating them. In his highly anticipated book, acclaimed author Steve McConnell unravels the mystery to successful software estimation—distilling academic information and real-world experience into a practical guide for working software professionals. Instead of arcane treatises...

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Software Estimation: Demystifying the Black Art: Demystifying the Black Art

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Overview


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 accurate estimates is straightforward—once you understand the art of creating them. In his highly anticipated book, acclaimed author Steve McConnell unravels the mystery to successful software estimation—distilling academic information and real-world experience into a practical guide for working software professionals. Instead of arcane treatises and rigid modeling techniques, this guide highlights a proven set of procedures, understandable formulas, and heuristics that individuals and development teams can apply to their projects to help achieve estimation proficiency.

Discover how to:


  • Estimate schedule and cost—or estimate the functionality that can be delivered within a given time frame
  • Avoid common software estimation mistakes
  • Learn estimation techniques for you, your team, and your organization * Estimate specific project activities—including development, management, and defect correction
  • Apply estimation approaches to any type of project—small or large, agile or traditional
  • Navigate the shark-infested political waters that surround project estimates


When many corporate software projects are failing, McConnell shows you what works for successful software estimation.

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Editorial Reviews

From Barnes & Noble
The Barnes & Noble Review
The software industry is notorious for its poor estimates. For years, Code Complete's Steve McConnell has been trying to fix that. In Software Estimation, he's brought together all he's learned through teaching thousands of software professionals and building one of the world’s leading software estimation tools. This is the definitive treatment: both formal techniques and crucial "rules of thumb."

McConnell walks through sources of error, reveals common estimating pitfalls, and shows how to improve accuracy by using several methods to refine your projections. You’ll learn how to “decompose” projects into smaller elements (for instance, modules instead of systems); and then recompose those elements into one coherent estimate.

Next, he systematically addresses the challenges of estimating project size, effort, and schedule. Last but not least, you’ll find realistic guidance on presenting estimates to management, and surviving those inevitable, dreaded negotiations. Bill Camarda, from the April 2006 Read Only

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Product Details

  • ISBN-13: 9780735637030
  • Publisher: Pearson Education
  • Publication date: 3/8/2006
  • Series: Developer Best Practices
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 352
  • Sales rank: 884,340
  • File size: 4 MB

Meet the Author

Steve McConnell is recognized as one of the premier authors and voices in the development community. He is Chief Software Engineer of Construx Software and was the lead developer of Construx Estimate and of SPC Estimate Professional, winner of Software Development magazine's Productivity Award. He is the author of several books, including Code Complete and Rapid Development, both honored with Software Development magazine's Jolt Award.

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Table of Contents

1 What is an "estimate"? 3
2 How good an estimator are you? 15
3 Value of accurate estimates 21
4 Where does estimation error come from? 33
5 Estimate influences 55
6 Introduction to estimation techniques 77
7 Count, compute, judge 83
8 Calibration and historical data 91
9 Individual expert judgment 105
10 Decomposition and recomposition 113
11 Estimation by analogy 127
12 Proxy-based estimates 135
13 Expert judgment in groups 149
14 Software estimation tools 157
15 Use of multiple approaches 165
16 Flow of software estimates on a well-estimated project 171
17 Standardized estimation procedures 181
18 Special issues in estimating size 197
19 Special issues in estimating effort 207
20 Special issues in estimating schedule 221
21 Estimating planning parameters 233
22 Estimate presentation styles 249
23 Politics, negotiation, and problem solving 259
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