Backward-Compatible Function Updates for Legacy Applications
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Solution Overview
Problem
Application development platforms (ADPs) face compatibility issues when updated, requiring users to manually update legacy applications to maintain functionality, which can be burdensome for users with limited technical expertise and may break existing applications.
Innovation Solution
A function transformation process that automatically identifies and modernizes legacy applications to reference updated functions, providing backward compatibility and enabling dynamic version control, allowing users to run existing applications on new versions without re-building, while maintaining minimal user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If ADP is updated with new release versions to provide new capabilities and improve existing capabilities, then the functionality and capabilities of the ADP are improved, but compatibility issues arise and existing applications may break
Solution Approach 1:
The system performs preliminary actions by automatically detecting changes in function definitions during ADP updates and proactively generating transformation code before applications are executed. The function transformation manager creates mappings between old and new function definitions in advance, so when applications run, they automatically use the updated functions without breaking due to incompatibility.
Solution Approach 2:
The function transformation manager acts as an intermediary layer between the updated ADP functions and legacy applications. It translates calls from old function definitions to new function definitions, maintaining backward compatibility while enabling new capabilities. This intermediary transformation layer absorbs the incompatibility between ADP updates and existing applications.
2Reliability
If users manually update legacy applications to maintain functionality after ADP updates, then compatibility is maintained, but user burden increases and technical expertise is required
Solution Approach 1:
The system provides self-service by automatically detecting function definition changes, generating transformation code, and applying updates to applications without requiring user intervention. The function transformation manager autonomously monitors ADP updates, identifies affected functions, and applies transformations automatically when applications execute, eliminating the need for users to manually update their applications.
Solution Approach 2:
The system implements feedback mechanisms where the function transformation manager continuously monitors the ADP for definition changes and automatically generates transformation mappings. This feedback loop ensures that applications are kept up-to-date with the latest ADP functions without requiring user action, maintaining functionality while reducing user burden.
3Productivity
If ADP updates are implemented automatically without user opt-out, then version upgrades are seamless, but user control over updates is reduced
Solution Approach 1:
The system applies dynamics by making the update process flexible and adaptive. The function transformation manager can dynamically generate and apply transformations based on detected changes, and the system allows users to configure their update preferences. Users can control which functions are transformed and under what conditions, combining automatic updates with user control over the transformation process.
Data Source
AI summary
Systems and techniques are described to allow an ADP to be dynamically updated to provide backward compatibility with existing functions in a manner that both intuitive to user experience and provides advantages to the way in which computing systems implement updates to ensure that users with limited technical expertise can update applications. In some implementations, data indicating a first version of a function to be executed by applications developed on a post-update application development platform is obtained. A second version of the function that is associated with a pre-update application development platform is identified. An association between the first version of the function and the second version of the function is generated. A determination that an application developed using the pre-update application development platform is associated with the second version of the function is made. Data associated with the application developed using the pre-update application development platform is then adjusted.