Automated Extensibility Framework for Application Migration
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Solution Overview
Problem
Existing software application extensibility techniques require manual creation and migration of extensions, which is time-consuming and impractical, especially when migrating to new platforms or extending multiple applications.
Innovation Solution
An automated extensibility framework that analyzes extensions from a source application, parses them into a target format, identifies corresponding target applications, compiles extension simulations, and provides a user interface for selecting and publishing the extensions, thereby reducing manual effort and enabling seamless migration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual creation and migration of extensions is used, then extensions can be created with full customization, but the time and effort required becomes impractical especially when migrating to new platforms or extending multiple applications
Solution Approach 1:
The system automatically copies extension definitions from source applications to target applications by parsing extension artefacts and recreating them in the target environment. This eliminates manual recreation while preserving extension functionality across platform migrations.
Solution Approach 2:
The system performs preliminary analysis of source applications to identify and extract extension artefacts before migration. By pre-processing and categorizing extensions in the source system, the automation framework prepares all necessary information for seamless transfer to target applications.
2Measurement precision
If manual analysis of applications is performed to identify extension areas, then extensions can be precisely tailored to application needs, but the procedure becomes time-consuming due to manual efforts
Solution Approach 1:
The system replaces manual mechanical analysis with automated computational analysis. The automation framework uses software agents to scan, parse, and analyze application structures, replacing human analysts while maintaining precision in identifying extension requirements.
Solution Approach 2:
The system enables applications to self-analyze and self-identify extension areas through automated scanning and parsing of application artefacts. The framework allows systems to autonomously determine where extensions are needed without external manual intervention.
3Reliability
If extensions are created one by one manually, then each extension can be carefully configured, but the process becomes impractical when multiple applications need extension
Solution Approach 1:
The system merges multiple individual extension creation processes into a single automated batch operation. By consolidating extension artefact extraction, parsing, and deployment across multiple applications simultaneously, the framework maintains configuration accuracy while reducing overall process complexity.
Solution Approach 2:
The automation framework provides universal functionality that handles diverse extension types across different applications through a single unified process. The system parses various extension artefact formats and applies appropriate configurations automatically, eliminating the need for separate manual processes for each extension.
Data Source
AI summary
An automated extensibility framework is provided to automatically convert or migrate application extensions from a source system to be used on target applications in a target format. Extension artefacts of an extension of a source application on a source system are obtained. Each of the extension artefacts are parsed into a target format of a target platform based on a type of the corresponding extension artefact. Target applications of the target platform are identified based on an identifier of the source application. Extension simulations are compiled for each of the one or more target applications. Then, a user interface is provided which enables a user to select simulations from among extension simulations. Then the selected simulations are published to the target platform such that the corresponding extensions are implemented in corresponding target applications.


