Building on the synergy between Systems Engineering and Software Engineering, the Center for Software Engineering (CSE) at the University of Southern California (USC), is in the process of developing a parametric model to estimate Systems Engineering costs. The goal of this model, called COSYSMO (Constructive Systems Engineering Cost Model), is to more accurately estimate the time and effort associated with performing the system engineering tasks defined by ISO/IEC 15288. This paper outlines the work accomplished thus far by USC, in collaboration with its Corporate Affiliates and the INCOSE Measurement Working Group, to develop the initial version of COSYSMO. This paper describes the development of the model, explains both its size and cost drivers, and outlines future steps that need to be taken to guarantee COSYSMO's successful adoption by the Systems Engineering community.

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This paper aims to advance the pedagogy of systems engineering by identifying opportunities and challenges in empirical research in the field. After an introduction to how empirical research could be further utilized in systems engineering, this paper discusses challenges faced when conducting empirical research in the field, threats to validity associated with systems engineering data collection, and considerations for empirical mixed-methods research. Two recently completed systems engineering empirical studies are used to illustrate specific examples. Finally, suggestions are given on how a professional society might provide additional support for researchers completing empirical research in systems engineering. The overarching goal of this paper is to describe how the increased use of empirical methods can be used to enrich the quality of research results which will in turn enhance the position of systems engineering as a widely recognized academic field. It is proposed that utilizing well-grounded, valid theory will improve understanding of systems engineering phenomena and advance the maturity of the field.

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