Software Application Decommissioning via Bot-Based Context Preservation
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Solution Overview
Problem
Existing data preservation systems fail to effectively decommission software applications, leading to technical debt, maintenance costs, and inefficiencies, while stripping data of its contextual richness, making it difficult to access and leverage.
Innovation Solution
A method and system utilizing software robots (snapbots) and AI to extract application information, creating AI-ready PDF archives by mimicking user interactions, navigating software applications, and extracting structured data for preservation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing data preservation systems are used to decommission software applications, then data can be preserved, but the contextual richness of the data is lost and the data becomes difficult to access and leverage
Solution Approach 1:
The system creates a virtual copy of the legacy application environment using containerization technology. This virtual environment preserves the complete contextual data including UI elements, data structures, and application logic, while making it accessible through standardized interfaces. The copy maintains fidelity to the original system while enabling modern access methods.
Solution Approach 2:
An intermediary layer is introduced between the preserved legacy data and modern access requirements. This layer includes virtualization components and API gateways that translate between the legacy application's native data format and contemporary access protocols, enabling contextual data preservation while maintaining ease of access.
2Productivity
If software applications are decommissioned without proper preservation systems, then maintenance costs are reduced, but technical debt accumulates and compliance risks increase
Solution Approach 1:
The system performs preliminary preservation actions before decommissioning occurs. By capturing and virtualizing the application environment in advance, the system ensures that all data, including contextual information, is preserved in an accessible format before the legacy system is retired, thereby maintaining compliance while enabling efficient decommissioning.
Solution Approach 2:
The preservation system is designed to automatically capture and archive application data without requiring manual intervention during decommissioning. The virtualization process self-executes to preserve the application state, reducing the complexity and time required for decommissioning while ensuring compliance through automated data retention.
3Loss of information
If legacy systems are maintained to preserve contextual data, then data accessibility is maintained, but maintenance costs and technical debt increase
Solution Approach 1:
Instead of maintaining the original legacy system, the invention creates a virtual copy that preserves all contextual data. This copy runs in an isolated containerized environment that requires minimal maintenance while retaining full fidelity to the original application's data structures and business logic, thereby preserving information without the ongoing maintenance burden.
Solution Approach 2:
The legacy application environment is segmented into isolated containerized units that can be independently managed. This segmentation allows the preserved data to be maintained separately from the original system, reducing the maintenance overhead while preserving contextual integrity through modular, self-contained virtual environments.
Data Source
AI summary
The present disclosure provides a method for facilitating decommissioning of a software application. Further, the method may include receiving, using a communication device, an entity data from a user device. Further, the method may include generating an instruction data based on the entity data. Further, the instruction data represents a set of human-equivalent automated actions performed by a software bot. Further, the method may include executing the instruction data. Further, the executing may be based on a bot configured to mimic a structured user interaction with the software application. Further, the method may include extracting a record data based on the executing. Further, the method may include generating a structured document data based on the extracting. Further, the method may include transmitting, using the communication device, the structured document data to the user device.