Software project dynamics: an integrated approach
Software project dynamics: an integrated approach
Qualitative reasoning: modeling and simulation with incomplete knowledge
Qualitative reasoning: modeling and simulation with incomplete knowledge
Controlling Software Projects: Management, Measurement, and Estimates
Controlling Software Projects: Management, Measurement, and Estimates
A Guide To The Project Management Body Of Knowledge (PMBOK Guides)
A Guide To The Project Management Body Of Knowledge (PMBOK Guides)
Qualitative Simulation Model for Software Engineering Process
ASWEC '06 Proceedings of the Australian Software Engineering Conference
Project Management: A Systems Approach to Planning, Scheduling, and Controlling
Project Management: A Systems Approach to Planning, Scheduling, and Controlling
Semi-quantitative simulation modeling of software engineering process
SPW/ProSim'06 Proceedings of the 2006 international conference on Software Process Simulation and Modeling
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Software process modeling and simulation hold out the promise of improving project planning and control. However, purely quantitative approaches require a very detailed understanding of the software project and process, including reliable and precise project data. Contemporary project management defines the success of project as a cube, rather than the traditional single point, which allows the management of software project semiquantitatively with uncertainty-tolerance. This paper introduces semi-quantitative simulation into software project planning and control, and develops a practical approach to enhance the confidence of project success under uncertainty and contingency. We illustrate its value and flexibility by an example implementation with a simplified software process model.