Bidirectional Code Translation for Semantic Edit Preservation
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Solution Overview
Problem
Conventional techniques for generating child code from parent code in computer languages like Razor limit edits to a one-way mapping, restricting the capabilities of parent code and making it vulnerable to breaking if edit methods change.
Innovation Solution
The approach translates edits from child languages to parent languages while maintaining semantic meaning, allowing for automatic generation of updated child code by updating the parent code to include changes based on the semantic meaning of the edits, thereby expanding edit capabilities and resilience to changes in edit methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a one-way mapping from parent code to child code is used, then the parent code structure is maintained and simplified, but the capabilities of parent code lag behind child code and the parent code becomes vulnerable to breaking if edit methods change
Solution Approach 1:
The patent inverts the traditional one-way mapping approach by enabling bidirectional translation. Instead of only mapping from parent code to child code, the system now translates edits from child code back to parent code, allowing the parent code to capture and maintain edits made in the child code through semantic understanding and automated translation.
2Reliability
If edits are limited to those enumerated in a list presented to the user, then the parent code structure remains stable, but the parent code capabilities are restricted and cannot keep pace with child code capabilities
Solution Approach 1:
The patent introduces dynamic adaptability by enabling the system to understand and translate arbitrary edits made in child code through semantic analysis. The parent code can now dynamically incorporate new edit types from child code without requiring pre-enumeration, while maintaining structural stability through automated translation and semantic preservation.
3Ease of manufacture
If conventional one-way mapping techniques are used, then the implementation is simple and direct, but the parent code is vulnerable to breaking if the way existing known edits work changes
Solution Approach 1:
The patent implements feedback by translating edits from child code back to parent code. This creates a closed-loop system where changes in child code are automatically reflected in parent code through semantic understanding and translation, ensuring the parent code remains synchronized and resilient to changes in edit methods without requiring complex manual updates.
Data Source
AI summary
Techniques are described herein that are capable of translating an edit from a child computer language to a parent computer language while maintaining a semantic meaning of the edit. Parent code that is based on the parent computer language is compiled, which automatically triggers generation of child code that is mapped to the parent code and that is based on the child computer language. A determination is made that the edit, which is not mapped to the parent code, is implemented in the child code to provide edited child code. The parent code is updated to include a change that is based on the semantic meaning of the edit. The updated parent code is configured such that compilation of the updated parent code automatically triggers generation of an updated version of the child code that includes the semantic meaning of the edit.