Process Simulation and Parametric Modeling for Strategic Project Management

Author:   Peter J. Morales ,  Dennis Anderson
Publisher:   Springer-Verlag New York Inc.
Edition:   2013 ed.
ISBN:  

9781461469889


Pages:   69
Publication Date:   31 May 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Process Simulation and Parametric Modeling for Strategic Project Management


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Overview

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.

Full Product Details

Author:   Peter J. Morales ,  Dennis Anderson
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 0.40cm , Length: 23.50cm
Weight:   1.416kg
ISBN:  

9781461469889


ISBN 10:   1461469880
Pages:   69
Publication Date:   31 May 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Introduction.- Chapter 2: Optimized Strategic Alignment.- Chapter 3: Improving the process.- Chapter 4: An introduction to quantitative process simulation.- Chapter 5: Developing a canonical process model.- Chapter 6: Quantitative Process Simulation.- Chapter 7: Conclusions and Recommendations.

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