Development of Systems Engineering Maturity Models and Management Tools

Keywords DoD Development of Systems Engineering Maturity Models and Management Tools Systems Development & Maturity Laboratory
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Under this method, TRL evaluations for each technology and IRL evaluations of each integration are combined using matrix mathematics (explained in detail later) to produce a comprehensive assessment where each technology within the system is weighted according to all of its integrations and then rolled up to a system level. It is important to emphasize that the SRL is not a quantitatively defined rating system, but is instead an analytical combination of the TRL and IRL scales. In others words, the SRL output is purely a function of the TRL and IRL inputs.

Imperative to the development of the SRL have been the supporting methodologies for using the SRL in the practice of systems development and acquisition. Thus, SysDML in conjunction with the US Navy PMS 420/SPAWAR and Northrop Grumman have incorporated SRL into an approach for the assessment of system maturity, as described in this report. While readiness is defined as a scale, maturity is defined as the practices that support the development (or maturation) of a system‘s readiness.

Therefore, SRL is more than purely a qualitative assessment. It requires the user to define the element level contributions of the multiple technologies and integrations that make up the system. In this way, it allows managers to evaluate system development in real-time and take proactive measures by examining the status of all elements of the system simultaneously. Furthermore, the methodology is adaptive to use on an array of system engineering development efforts and can also be applied as a predictive tool for technology insertion trade studies and analysis.

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As current United States Department of Defense (DoD) system development and engineering activities continue to be challenged by formulation of larger and more complex systems, DoD‘s methods, processes, and tools (MPT) for effectively and efficiently addressing these challenges are likewise being challenged. The goal of this research was to develop a mixed methodological approach to examine systems development maturity. Qualitatively we intended to uncover and investigate the key characteristics that drive the development of large scale, complex systems.

Quantitatively we used these key characteristics to formulate a collection of analytical MPT to assist in making informed systems engineering management decisions. To advance the state of practice of this research, all MPT developed under this task were validated through application on designated projects. The validation effort was designed to determine if they could be effectively implemented as a best practice across the Department of Defense. The need for this research is precipitated by the need for system engineering, development, and cost models that adequately incorporate the unique aspects of system and technology insertion and integration.

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