Automated Documentation Generation via Metadata Transformation
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Solution Overview
Problem
Existing systems require cumbersome and time-consuming manual generation of documentation for enterprise applications, often involving cross-referencing multiple documents, which may not provide a complete and up-to-date representation of customized applications.
Innovation Solution
A system that uses a developer tool to automatically generate documentation specific to an application by transforming meta information into Darwin Information Typing Architecture (DITA) topics, allowing for the creation of human-readable documents such as user guides and troubleshooting guides, tailored to the application's definition and deployment, and updating these documents rapidly in response to changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual generation of documentation is used, then documentation can be created with human review and customization, but the process becomes cumbersome and time consuming
Solution Approach 1:
The system performs preliminary action by automatically generating documentation templates and structures based on application metadata before final review. The framework pre-processes application definitions, component relationships, and configuration data to create draft documentation that requires minimal manual completion, thus reducing overall creation time while maintaining accuracy through structured templates.
Solution Approach 2:
The patent introduces an intermediary automated documentation generation system that sits between the application definition process and final documentation delivery. This intermediary automatically transforms application metadata, component hierarchies, and configuration data into structured documentation drafts, reducing both manual effort and ensuring consistency with the actual application state.
2Loss of information
If manual cross-referencing of multiple documents is performed, then comprehensive coverage can be achieved, but the process becomes cumbersome and may not provide complete documentation
Solution Approach 1:
The system merges multiple scattered application definition files, component metadata, and configuration data into a unified documentation structure. By consolidating information from various sources into a single automated generation process, the system ensures comprehensive coverage without requiring manual cross-referencing, thus reducing process complexity while maintaining completeness.
Solution Approach 2:
The patent creates a universal documentation generation framework that can handle multiple types of application data (definitions, components, configurations, relationships) through a single automated process. This multi-functional system replaces the need for separate manual processes for different documentation aspects, reducing complexity while ensuring all information is captured comprehensively.
3Adaptability or versatility
If customized application documentation is manually created, then specific application details can be included, but the documentation does not remain up-to-date when applications change
Solution Approach 1:
The system implements feedback mechanisms where changes in application definitions, components, or configurations automatically trigger updates to the corresponding documentation. The automated generation process continuously monitors application state changes and regenerates documentation to reflect current application status, ensuring reliability and currency while maintaining customization through template-based approaches.
Solution Approach 2:
The patent transforms static manual documentation into dynamic automatically-generated documentation that adapts to application changes. The system establishes dynamic links between application state and documentation content, enabling automatic updates when applications are modified, thus maintaining both customization and currency without manual intervention.
4Productivity
If automatic generation from metadata is implemented, then documentation can be created quickly and updated easily, but customization and tailoring to specific applications may be limited
Solution Approach 1:
The system segments documentation generation into modular templates that can be selectively applied and customized for different application types. By dividing the documentation structure into reusable, parameterizable components, the system maintains high generation speed through automation while allowing customization through template selection and parameter adjustment specific to each application's needs.
Data Source
AI summary
Generating customized documentation is disclosed, including: receiving a set of meta information describing an aspect of an application; and generating a document to provide guidance specific to the application based at least in part on at least a subset of the set of meta information.