Software Dependency Self-Adaptation for Automated Rebuild and Testing
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Solution Overview
Problem
Application software developers face challenges in adapting to changes in dependency software components due to independent release timelines, leading to lengthy and resource-intensive processes of rebuilding and retesting, especially when multiple dependencies change simultaneously, and the need to test across diverse execution environments.
Innovation Solution
A method for self-adaptation of application software on server computers, utilizing a software bundle that includes application software, testing software, and self-adaptation software to automatically identify, rebuild, and test against changed dependencies, with failure notifications and optional user intervention for rewriting source code.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual rebuilding and retesting of application software is performed when dependency components change, then the application software can be adapted to changes, but the development time and resource consumption increase significantly
Solution Approach 1:
The system enables application software to automatically detect dependency component changes, trigger rebuilding processes, execute retesting, and deploy updated versions without manual intervention. The software bundle includes self-adaptation software that autonomously manages the entire adaptation workflow, transforming a manual service into an automated self-service process that reduces development time while maintaining adaptability
Solution Approach 2:
The patent pre-configures the application software with self-adaptation capabilities and testing frameworks before deployment. When dependency changes occur, the pre-prepared automation scripts and testing infrastructure immediately execute without requiring manual setup, enabling rapid response to changes while reducing the time loss associated with ad-hoc manual processes
2Reliability
If comprehensive retesting is performed across all execution environments when dependencies change, then software quality is ensured, but resource consumption increases
Solution Approach 1:
The system implements intelligent test selection that performs only the necessary subset of testing based on the specific dependency changes detected. Rather than executing all possible test cases across all environments, the automation framework analyzes the nature of changes and selectively runs relevant tests, maintaining software quality while reducing resource consumption by avoiding redundant testing
Solution Approach 2:
The patent applies different testing strategies to different execution environments based on their specific requirements and the nature of dependency changes. Critical environments receive comprehensive testing while less critical environments receive targeted testing, ensuring software quality where it matters most while optimizing resource allocation across the distributed system
3Productivity
If automated self-adaptation is implemented on server computers, then development efficiency improves, but the complexity of the software bundle increases
Solution Approach 1:
The patent integrates self-adaptation software, testing frameworks, and deployment capabilities into a unified software bundle that is distributed with the application software. By merging these previously separate components into a single integrated package, the system improves development efficiency through automation while managing complexity through unified architecture rather than scattered separate tools
Data Source
AI summary
A method is provided for adapting, in a server, application software executing on the server to a change in a dependency software component. The server receives a software bundle with application software, source code of the application software, testing software with test scripts and self-adaptation software. The self-adaptation software obtains a changed dependency component and rebuilds the application software with the changed dependency. If the rebuild was unsuccessful, it sends a rebuild failure message to a user. If the rebuild was successful, the testing software tests the rebuilt application. If the testing was unsuccessful, it sends a testing failure message to a user. If the rebuild was successful, the self-adaptation software loads the rebuilt application software, stops execution of the application software, and begins execution of the rebuilt application software.


