Architecture Decision Modeling & Automated Tradespace Formulation

The innovation proposed is a graphical method to codify decision classes, script-based operators and enumeration schemes to significantly reduce the time associated with formulating and reusing tradespace studies often associated with systems architecture, mission architecture, product planning, technical strategy and business strategy.Aureus will develop an automated technique to generate a rich architectural tradespace directly from a descriptive systems model. In order to do this, the architecture decision patterns and objective, or value, criteria will be captured in a SysML-capable tool from which a tradespace and pareto front will be generated, enabling teams to more quickly and more thoroughly compare candidate architectures. This will allow the NASA team and other development teams to focus on drawing insights from the tradespace rather than manually deriving the architecture problem for each mission. Aureus believes that these insights and improved decision making overall are the main value facilitated by this innovation.nbsp;Related values of the innovation include gaining the ability to capture and preserve decision histories throughout a project and / or systems lifecycle by better incorporating high level decision models into NASArsquo;s model based systems engineering (MBSE) ecosystem.The primary end user is a NASA system / mission architect or systems engineer.nbsp;For Phase I, a laboratory environment (TRL 4) demonstration will be conducted within commercially available tools. The Phase I proof-of-concept demo will largely be an integration of existing tools amp; libraries with minor customizations to deploy the specific, novel points of thenbsp;innovation.