The Convergence of COSYSMO Parametric Cost Estimation with Model-Based Systems Engineering

The promise of Model-Based Systems Engineering (MBSE) and its advertised benefits hinge on the ability of our profession to integrate engineering disciplines and project management across the system life cycle. In particular, connecting system architecture and design decisions to the economics of the system's development is a critically important topic, but has often been overlooked by the system engineering community. Achieving such integration requires two key elements: (1) the standardization of multidisciplinary terms and functions, and (2) the establishment of rules governing relationships between cross-functional models and modeling environments. This paper contributes to these areas by (1) establishing common terminology describing systems engineering and cost estimating, and (2) proposing specific cost drivers and counting rules within an MBSE environment that can be applied to estimating systems engineering effort using the COSYSMO cost model. COSYSMO is a systems engineering cost model, originally developed in 2005, and was grounded on document-based systems engineering methods. This paper facilitates the convergence of COSYSMO and MBSE by updating the COSYSMO counting rules to specifically address size driver selection and assessment in a SysML model. It illustrates how advanced modeling tool features streamline and automate cost estimation activities, while queries and crosscutting views offered by modern MBSE tools enhance the completeness, quality, and consistency of parametric cost estimation process. Additionally, it provides guidelines for identifying system model content and level of detail for cost estimating, and proposes an approach to link attributes and properties in a system model to the variables in the COSYSMO cost estimating relationship.