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Process Simulation and Parametric Modeling for Strategic Project Management

  • Peter J. Morales
  • Dennis Anderson

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Peter J. Morales, Dennis Anderson
    Pages 1-4
  3. Peter J. Morales, Dennis Anderson
    Pages 5-18
  4. Peter J. Morales, Dennis Anderson
    Pages 19-23
  5. Peter J. Morales, Dennis Anderson
    Pages 25-29
  6. Peter J. Morales, Dennis Anderson
    Pages 31-33
  7. Peter J. Morales, Dennis Anderson
    Pages 35-48
  8. Peter J. Morales, Dennis Anderson
    Pages 49-63
  9. Back Matter
    Pages 65-69

About this book

Introduction

Process Simulation and Parametric Modeling for Strategic Project Management will offer CIOs, CTOs and Software Development Managers, IT Graduate Students an introduction to a set of technologies that will help them understand how to better plan software development projects, manage risk and have better insight into the complexities of the software development process.

A novel methodology will be introduced that allows a software development manager to better plan and access risks in the early planning of a project.  By providing a better model for early software development estimation and software development, managers will be better equipped to make more effective project portfolio investment choices.  Moreover, the methodology will allow the software development manager to continually simulate scenarios throughout the lifecycle of the project and determine plausible alternatives before the risk becomes a reality.

Keywords

IT Project Management Process Modelling Project Portfolio Management Project Scheduling and Planning Software Estimation

Authors and affiliations

  • Peter J. Morales
    • 1
  • Dennis Anderson
    • 2
  1. 1.School of LawNew York UniversityNew YorkUSA
  2. 2.St. Francis CollegeBrooklynUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-6989-6
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-6988-9
  • Online ISBN 978-1-4614-6989-6
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site