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Estimating Software CostsApril 2007
Publisher:
  • McGraw-Hill, Inc.
  • Professional Book Group 11 West 19th Street New York, NY
  • United States
ISBN:978-0-07-148300-1
Published:19 April 2007
Pages:
644
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Abstract

Deliver bug-free software projects on schedule and within budget Get a clear, complete understanding of how to estimate software costs, schedules, and quality using the real-world information contained in this comprehensive volume. Find out how to choose the correct hardware and software tools, develop an appraisal strategy, deploy tests and prototypes, and produce accurate software cost estimates. Plus, you'll get full coverage of cutting-edge estimating approaches using Java, object-oriented methods, and reusable components. Plan for and execute project-, phase-, and activity-level cost estimations Estimate regression, component, integration, and stress tests Compensate for inaccuracies in data collection, calculation, and analysis Assess software deliverables and data complexity Test design principles and operational characteristics using software prototyping Handle configuration change, research, quality control, and documentation costs "Capers Jones' work offers a unique contribution to the understanding of the economics of software production. It provides deep insights into why our advances in computing are not matched with corresponding improvements in the software that drives it. This book is absolutely required reading for an understanding of the limitations of our technological advances." --Paul A. Strassmann, former CIO of Xerox, the Department of Defense, and NASA Table of contents Foreword Preface Acknowledgments Section 1 Introduction to Software Cost Estimation Chapter 1 Introduction Chapter 2 The Origins of Software Cost Estimation Chapter 3 Six Forms of Software Cost Estimation Chapter 4 Software Cost Estimating Tools and Project Success and Failure Rates Chapter 5 Sources of Error in Software Cost Estimation Section 2 Preliminary Estimation Methods Chapter 6 Manual Software Estimating Methods Chapter 7 Manual Software Estimating Methods Derived from Agile Projects and New Chapter 8 Automated Estimates from Minimal Data Section 3 Sizing Software Deliverables Chapter 9 Sizing Software Deliverables Section 4 Cost Estimating Adjustment Factors Chapter 10 Compensation and Work-Pattern Adjustments Chapter 11 Activity Pattern Adjustment Factors Chapter 12 Software Technology Adjustment Factors Section 5 Activity-Based Software Estimating Chapter 13 Estimating Software Requirements Chapter 14 Estimating Software Prototypes Chapter 15 Estimating Software Specifications and Design Chapter 16 Estimating Design Inspections Chapter 17 Estimating Programming or Coding Chapter 18 Estimating Code Inspections Chapter 19 Estimating Software Configuration Control and Change Management Chapter 20 Estimating Software Testing Chapter 21 Estimating User and Project Documentation Chapter 22 Estimating Software Project Management Section 6 Maintenance and Enhancement Cost Estimating Chapter 23 Maintenance and Enhancement Estimating Chapter 24 Software Cost-Estimating Research IssuesIndex

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  2. dos Santos Neto P, Britto R, Rablo R, Cruz J and Lira W (2016). A hybrid approach to suggest software product line portfolios, Applied Soft Computing, 49:C, (1243-1255), Online publication date: 1-Dec-2016.
  3. Shmueli O, Pliskin N and Fink L (2016). Can the outside-view approach improve planning decisions in software development projects?, Information Systems Journal, 26:4, (395-418), Online publication date: 1-Jul-2016.
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  13. Deutch D, Greenshpan O and Milo T (2010). Navigating in complex mashed-up applications, Proceedings of the VLDB Endowment, 3:1-2, (320-329), Online publication date: 1-Sep-2010.
  14. Deutch D, Milo T, Polyzotis N and Yam T (2010). Optimal top-k query evaluation for weighted business processes, Proceedings of the VLDB Endowment, 3:1-2, (940-951), Online publication date: 1-Sep-2010.
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  17. Lazić L and Mastorakis N Optimality and stability criteria for software testing process control model Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering, (73-102)
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