Early Identification of SE-Related Program Risks

Barry Boehm, Dan Ingold, University of Southern California

Kathleen Dangle, Fraunhofer-Maryland

更多

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.

收起