The SERC NAV, short for Network Analysis and Visualization, is a software tool that was initially developed to capture and allow users to visually interact with data and relationships that exist in the SERC ecosystem. Those data and relationships include professors, universities, research projects, publications, and metadata about the persons involved. The idea is that users would interact with the SERC NAV Interface which would visualize the data and relationships within the SERC NAV. Users would be able to click the visualized data on the screen and navigate between data that is related to each other. In this way, users would be able to visually traverse the database and discover the composition of the SERC with regard to research being performed, persons related to the research, universities who collaborate with the SERC, publications related to the research and many other data that exists.
SystemiTool is the name of the software tool we provide to support the creation, editing and portrayal, in the form of a storyboard of scenes, of systemigrams. The initial version of this tool was originally developed by Brian Sauser and John Boardman.
A new web-based SystemiTool is now available, which allows users to showcase their systemigram in Presentation Mode. Users are also able to download this tool for both PC and MAC versions.
If you have any feedback or suggestions, please contact us so that we may continue to develop this tool to meet the research community’s needs.
This is an analytic workbench (AWB) including a set of tools to support system of systems development and analysis. The current five methods are Systems Operational Dependency Analysis (SODA), Systems Developmental Dependency Analysis (SDDA), Robust Portfolio Optimization (RPO), System Importance Measures (SIMs), and Multi-Stakeholder Dynamic Optimization (MUSTDO).
The development of a large group of interdependently operating systems, or ‘System of Systems (SoS)’, presents significant challenges across technical, operational and programmatic dimensions. Trades between cost, schedule, performance, and associated spectrum of risks, are essential during analysis of alternatives for both individual systems and the SoS architecture as a whole. The large number of decision variables involved, ubiquitous uncertainty and complex interactions that exist between systems creates analysis problems that go well beyond the immediate mental faculties of decision-makers. Often times, the decisions made focus on localized development at the system level with little consideration for cascading effects on the bigger SoS picture. Hence, the process of evolving SoS architectures requires tools that provides the SoS practitioner with meaningful analytical quantifications of the SoS tradespace. We developed this analytic workbench of computational tools to facilitate better-informed decision-making on SoS architectures. The work is motivated by the idea that SoS practitioners possess relevant information and archetypal questions that reflect desired outcomes at the SoS level. These archetypal, technically-driven queries are mapped to relevant methods that can provide analytical outputs to directly support SoS acquisition and architectural decisions. Applications of this analytic workbench are diverse, including defense acquisition, defense operational planning, cyber security, health care, nanotechnology, etc.