US Patent Application 17824002. MAPPING DATA MODELS TO FACILITATE CODE GENERATION simplified abstract

MAPPING DATA MODELS TO FACILITATE CODE GENERATION

Organization Name

Red Hat, Inc.

Inventor(s)

Edoardo Vacchi of Milan (IT)

Paolo Antinori of Milan (IT)

MAPPING DATA MODELS TO FACILITATE CODE GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17824002 titled 'MAPPING DATA MODELS TO FACILITATE CODE GENERATION

Simplified Explanation

- The patent application describes a method for mapping data models to facilitate code generation. - The method involves receiving two files, each containing a data model for a group of components. - The first data model is converted into a first intermediate data model, and the second data model is converted into a second intermediate data model. - The first intermediate data model is then mapped to the second intermediate data model to identify matching elements. - Based on this mapping, code is generated for execution. - The purpose of this method is to streamline the process of generating code by mapping data models and generating code based on the identified matches.

Original Abstract Submitted

In various examples disclosed herein, provided is a method for mapping data models to facilitate code generation. The method can include receiving a first file comprising a first data model of a first group of components and a second file comprising a second data model of a second group of components. The method can also include converting the first data model into a first intermediate data model. The method can also include converting the second data model into a second intermediate data model. The method can also include mapping the first intermediate data model to the second intermediate data model to generate a map of matching elements. The method can also include generating code to be executed based at least in part on the map of matching elements.