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Software Project Management under Uncertainties
Managing of risk and uncertainties during the course of a project has become one of the priorities of the software project manager. Any research and development projects are affected by a large number of events, which can significantly change the course of a project. These events may form groups of related events or event chains. The paper discusses a proposed methodology of modeling the software project scheduling using event chains, classification of the events and chains, identification of critical chains, analysis of effect of the chains on project duration, cost, and chance of project completion. The paper presents a practical approach to modeling and visualizing event chains. The event chains methodology can contribute to reducing uncertainties in project scheduling through mitigation of philological biases and significant simplification of process of modeling, tracking, and analysis of project schedule.
Introduction
PERT,
Critical Path Method, Monte Carlo Simulations
Psychological
Issues
Events
Chain Methodology
Event
Chain Methodology Workflow
Conclusions
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solutions