Abstract: This application discloses a computing system (400) to generate a product model (409) that describes attributes of a product including an electronic system (401). The computing system (400) can implement a machine-learning algorithm having been trained with metadata populated in previously generated product models for different electronic systems, which can determine one or more sets of metadata capable of being correlated to the electronic system included in the product model based on the attributes of the electronic system described in the product model. The sets of metadata can correspond to different design constraints in the product model associated with electrical connectivity for the electronic system and their corresponding parameter values. The computing system can populate at least one of the sets of metadata into the product model to correlate with the electronic system.

Abstract: This application discloses a computing system implementing a shared management system (340) to distribute virtual product models (343), each corresponding to a shared product model (341) describing a product having an electronic device with multiple printed circuit boards, to multiple printed circuit board layout tools (320-1 to 320-N). The printed circuit board layout tools (320-1 to 320-N) separately modify the corresponding virtual product models (343) to generate layout designs for the multiple print circuit boards and generate at least one system-level design rule describing a physical limitation for the electronic device.