Early Identification of SE-Related Program Risks
Barry Boehm, Dan Ingold, University of Southern California
Kathleen Dangle, Fraunhofer-Maryland
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Rich Turner, Stevens Institute of Technology
Paul Componation, University of Alabama-Huntsville
Abstract
This paper summarizes the results of a DoD Systems Engineering Research Center (SERC) project to
synthesize analyses of DoD SE effectiveness risk sources into a lean framework and toolset for early
identification of SE-related program risks. It includes concepts of operation which enable project
sponsors and performers to agree on the nature and use of more effective evidence-based reviews.
These enable early detection of missing SE capabilities or personnel competencies with respect to a
framework of Goals, Critical Success Factors (CSFs), and Questions determined from leading DoD
early-SE CSF analyses. The SE Effectiveness Measurement (EM) tools enable risk-based prioritization
of corrective actions, as shortfalls in evidence for each question are early uncertainties, which when
combined with the relative system impact of a negative answer to the question, translates into the degree
of risk that needs to be managed to avoid system overruns and incomplete deliveries.
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