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Process Simulation and Parametric Modeling for Strategic Project Management [electronic resource] / by Peter J. Morales, Dennis Anderson.

By: Morales, Peter J [author.].
Contributor(s): Anderson, Dennis [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: New York, NY : Springer New York : Imprint: Springer, 2013Description: XI, 69 p. 27 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781461469896.Subject(s): Computer science | Project management | Information technology | Business -- Data processing | Computer simulation | Computer Science | Simulation and Modeling | Project Management | IT in BusinessAdditional physical formats: Printed edition:: No titleDDC classification: 003.3 Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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.
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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.

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.

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