Planning Software Project Success with Semi-Quantitative Reasoning

Authors:
He Zhang;Barbara Kitchenham;Ross Jeffery
Affiliations:
University of New South Wales, Australia/ National ICT Australia;National ICT Australia;University of New South Wales, Australia/ National ICT Australia
Venue:
ASWEC '07 Proceedings of the 2007 Australian Software Engineering Conference
Year:
2007

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Abstract

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 box or hyper-cube, rather than the traditional single point, which allows the planning for software project success semi-quantitatively with uncertainty-tolerance. This paper introduces semi-quantitative reasoning into software project planning and develops a practical approach to enhance the confidence of project success under the uncertainty and contingency. We illustrate its value and flexibility by a simplified software process model focusing on staffing issues.