Digital Engineering Metrics

Keywords Digital Engineering Metrics Formal Specification of Performance Metrics for Intelligent Systems DE ecosystem
Standards groups

DE is defined as ‘‘an integrated digital approach that uses authoritative sources of systems’ data and models as a continuum across disciplines to support lifecycle activities from concept through disposal. A DE ecosystem is an interconnected infrastructure, environment, and methodology that enables the exchange of digital artifacts from an authoritative source of truth.”2 Model-Based Systems Engineering (MBSE) is a subset of DE, defined as “the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.”3 MBSE has been a popular topic in the SE community for over a decade, but the level of movement toward broad implementation has not always been clear. With the release of the DoD DE Strategy, a clear set of high-level goals are defined for the DoD acquisition community and its industry base. The terms DE and MBSE are used interchangeably throughout this report.
Digital transformation is a change process heavily rooted in “how we train and shape the workforce to use those processes”, as noted by Goal 5 of the DoD Digital Engineering Strategy. Each of the DoD’s goals implies that an enterprise, organizational unit, or multi-organizational program has a means to define the outcomes of a DE strategy, performance metrics, measurement approaches, and leading indicators of change in the transformation process. This research sought to define a comprehensive framework for DE benefits and expected value linked to the ongoing development of DE enterprise capabilities and experienced transformation “pain points,” enablers, obstacles, and change strategies.

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SERC-SR-2020-003-DE-Metrics-Summary-Report-6-2020.pdf application/pdf   626.79 KB English DOWNLOAD!
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