Abstract: At least one processor identifies dependency relationships among libraries in a repository of libraries. Using the dependency relationships among libraries, at least one machine learning model can be created that predicts with a confidence value a dependency between a given library and a target library. An L layer tree-like graph can be created, using the dependency relationships among libraries and an application package. L can be configurable. Versions of the libraries to use can be determined by running the at least one machine learning model for each pair of nodes having a dependency relationship in the L layer tree-like graph, the at least one machine learning model identifying the dependency relationship with a confidence value, where pairs of nodes having largest confidence values are selected as the versions of the libraries to use in the application package.

Abstract: In an operating method for user interface for a computed tomography examination procedure a menu and a workflow list are merged on a computer screen. One or more scanning programs can be selected in a parameter setting area on the computer screen, each scanning program corresponding to one default patient posture. When an “end of examination” option in the workflow list is selected, job status information is displayed in the parameter setting area, prompting an operator to check the status of the job selected in set reconstruction parameters. Using the interface the user can improve operational efficiency, thereby saving operational time and shortening time spent in examining each patient.