XML Data Structure Population Using Predefined Templates
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Solution Overview
Problem
Existing methods for populating data structures in software applications with XML input data require additional resources, such as CPU time and memory, which can be a challenge in resource-constrained systems like embedded systems.
Innovation Solution
The approach involves loading a schema specific to the programming language into memory and using it to parse XML input data, directly mapping elements and values to corresponding fields in the data structures, thereby reducing resource overhead and facilitating efficient data population in resource-constrained systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If XML input data is parsed using conventional methods, then data structures can be populated, but additional CPU time and memory resources are consumed
Solution Approach 1:
The patent applies preliminary action by pre-defining data structure templates in the programming language that mirror the XML schema structure. These templates are prepared in advance with all necessary field definitions and mappings, eliminating the need for dynamic schema parsing during data population. The template-based approach allows direct instantiation of data structures without resource-intensive runtime schema analysis.
Solution Approach 2:
The patent uses copying by creating data structure templates that are exact copies of the expected XML data structure. These templates are defined in the programming language with the same field names, data types, and hierarchical relationships as the XML schema. By copying the structure beforehand, the system avoids the need for complex runtime parsing and can directly populate the pre-defined structures with XML data.
2Adaptability or versatility
If XML schemas are parsed dynamically, then data can be adapted to various formats, but resource overhead increases
Solution Approach 1:
The patent applies preliminary action by pre-defining data structure templates in the programming language that mirror the XML schema structure. These templates are prepared in advance with all necessary field definitions and mappings, eliminating the need for dynamic schema parsing during data population. The template-based approach allows direct instantiation of data structures without resource-intensive runtime schema analysis.
Solution Approach 2:
The patent uses copying by creating data structure templates that are exact copies of the expected XML data structure. These templates are defined in the programming language with the same field names, data types, and hierarchical relationships as the XML schema. By copying the structure beforehand, the system avoids the need for complex runtime parsing and can directly populate the pre-defined structures with XML data.
Data Source
AI summary
An aspect of the present invention populates data structures of a software application with input data provided according to XML. In one embodiment, the input data and a schema is received, with the schema containing another set of data structures according to the programming language in which the software application is written. The input data is parsed according to the schema to identify elements and corresponding values. The identified values are then stored in the fields of the data structures of the application. According to another aspect, the schema received with the input data specifies a mapping of each of the elements in the input data to corresponding fields of data structures of a software application. Accordingly, the specified fields of the data structures are set to the values associated with the corresponding mapped elements in the input data.