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Project Performance Management. Connecting the 5 Principles and 5 Practices of Performance-Based Project Management ® To Increase the Probability of Project Success. Building a Credible PerformanceMeasurement Baseline. Measures of Product Value is Exchange for Its Cost. Event-Based Scheduling , 10 November 2006.
Take for example the deployment of an ERP system, the installation, and startup of a process control system, the release of a suite of embedded software controllers for a car, aircraft, petrochemical plant. A recent survey of 600 firms indicated that 35% of them had at least one "runaway' software project. 3, August 2006, pp.
Here's a typical graph showing a core problem in the softwaredevelopment domain. . Schedule Estimation and Uncertainty Surrounding the Cone of Uncertainty, Todd Little, IEEE Software , May/June 2006. Your project may be different in practice, but the principles are the same. A Few References and Resources .
Project Performance Management (#PPM). Technical PerformanceMeasures (#TPM). Cost, Schedule, and Technical Performance Management (#CSTPM). Product Development (#ProdDev). Agile SoftwareDevelopment (#ASD). Those lessons are directly transferable to the management of softwaredevelopment teams.
Landmark’s measure of success over these three years had much more to do with customer satisfaction and market share than with meeting knowingly aggressive targets. It's suggested from observations, the Cone of Uncertainty (CoU) is not a valid model of how uncertainty behaves in softwaredevelopment projects. Laird and M.
The Cone of Uncertainty,” Stephen Gryphon, Phillippe Kruchten, and Steve McConnell, Letters, IEEE Software , 23 (5) 2006, pp 8?10. Shrinking the Cone of Uncertainty with Continuous Assessment for Software Team Dynamics in Design and Development,” Pongtip Aroonvatanaporn,”Ph.D. 37–48, 2007.
When actual measures of cost, schedule, and technical performance are outside the planned cone of uncertainty, corrective actions must be taken to move those uncertanties inside the cone of uncertanty, if the project is going to meet it's cost, schedule, and technical performance goals. . IEEE Software, March-April 2009, pp.
The Measures that are modeled in the Cone of Uncertainty are the Quantitative basis of a control process that establishes the goal for the performancemeasures. This is a closed loop control system for managing the program with a T echnical PerformanceMeasure (TPM). IEEE Software, March-April 2009, pp.
When actual measures of cost, schedule, and technical performance are outside the planned cone of uncertainty, corrective actions must be taken to move those uncertanties inside the cone of uncertanty, if the project is going to meet it's cost, schedule, and technical performance goals. . IEEE Software, March-April 2009, pp.
All making things smaller dos is show that you're late, over budget, and what you're building (Technical PerformanceMeasures) doesn't work faster. Stewart, ACTEX Publications, 2006. Software Risk Management , Barry W. Loch, Arnoud DeMeyer, and Michael Pich, Wiley, 2006. This is good, but it doesn't reduce risk.
For approaches that have been implemented on existing systems, obtaining such understanding may require measurement and analysis. For scenarios where the project under consideration does not yet exist, performance prediction using analytical modeling or simulation is necessary. The IMS is then placed on a baseline in the PMB.
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