Quantitative Metrics for Risk Assessment in Software Projects

Luqi, L. Zhang, and V. Berzins (USA)

Keywords

Risk Assessment, Software Metrics, Formal Models,Project Management.

Abstract

This paper introduces a set of metrics for four indicators of the risk in an evolutionary software project. The indicators are requirements volatility, organization efficiency, product complexity, and technology maturity. The proposed metrics can be obtained early in the development process. These metrics are objective and derived. They accommodate the changes in requirements, process, and resources of a project. They will be the basis to build a formal risk assessment model that will make different program managers derive the same projections on the same software project.

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