Software Project Estimation: The Fundamentals for Providing High Quality Information to Decision Makers

This book introduces theoretical concepts to explain the fundamentals of the design and evaluation of software estimation models. It provides software professionals with vital information on the best software management software out there.

• End-of-chapter exercises
• Over 100 figures illustrating the concepts presented throughout the book
• Examples incorporated with industry data

Table of Contents

Part I: Understanding the Estimation Process
Chapter 1: The Estimation Process: Phases and Roles
Chapter 2: Engineering and Economics Concepts for Understanding Software Process Performance
Chapter 3: Project Scenarios, Budgeting, and Contingency Planning

Part II: Estimation Process: What Must be Verified?
Chapter 4: What Must be Verified in an Estimation Process: An Overview
Chapter 5: Verification of the Dataset Used to Build the Models
Chapter 6: Verification of Productivity Models
Chapter 7: Verification of the Adjustment Phase

Part III: Building Estimation Models: Data Collection and Analysis
Chapter 8: Data Collection and Industry Standards: The ISBSG Repository
Chapter 9: Building and Evaluating Single Variable Models
Chapter 10: Building Models with Categorical Variables1
Chapter 11: Contribution of Productivity Extremes in Estimation
Chapter 12: Multiple Models from a Single Dataset
Chapter 13: Re-Estimation: A Recovery Effort Model