Source Code Conversion via Knowledge Graph and AST
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Solution Overview
Problem
Existing technologies face challenges in efficiently updating source code from an original programming language to a target programming language, particularly in ensuring compatibility with existing software infrastructure and reducing the computational complexity and resource consumption involved in this process.
Innovation Solution
The system generates a knowledge graph of the source code to identify unique data objects in the original programming language, masks these objects, predicts counterpart objects in the target language using NLP, and creates the new version of the source code in the target language, thereby reducing the need for extensive processing and memory resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If source code is converted from an original programming language to a target programming language using conventional methods, then the new version of source code can be provided to subscribers, but the process consumes excess amounts of processing and memory resources
Solution Approach 1:
The source code conversion process is segmented into distinct phases: parsing the original source code into an abstract syntax tree (AST), transforming the AST into the target programming language, and validating the converted code. This segmentation allows each phase to be optimized independently, reducing overall resource consumption during conversion.
Solution Approach 2:
An abstract syntax tree (AST) is introduced as an intermediary representation between the original source code and the target programming language. The AST serves as a language-agnostic intermediate form that captures the semantic structure of the code, enabling efficient transformation to the target language without direct complex parsing and compilation operations.
2Adaptability or versatility
If source code is converted from an original programming language to a target programming language, then the new version can be provided to subscribers, but the conversion process is computationally complex and requires a large amount of processing resources
Solution Approach 1:
The abstract syntax tree (AST) acts as a universal intermediary that simplifies the conversion process between different programming languages. By representing code structure in a language-agnostic format, the system reduces conversion complexity while maintaining adaptability to multiple source and target languages.
Solution Approach 2:
The conversion system is designed with universal components that can handle multiple programming languages through a common AST representation. The same conversion infrastructure serves multiple language pairs, reducing overall system complexity while maintaining broad language compatibility.
3Adaptability or versatility
If conversion library functions are used to link existing software infrastructure stack with new version of source code in another programming language, then compatibility is achieved, but excess amounts of processing and memory resources are consumed
Solution Approach 1:
Instead of using heavy conversion library functions to link different programming languages, the system creates a copied representation of the original code's semantic structure in the target language through AST transformation. This copying approach in the abstract domain is more resource-efficient than maintaining runtime linkage through conversion libraries.
Data Source
AI summary
A system identifies data objects from a first piece of code in an original programming language and creates a knowledge graph that represents a relationship among the data objects. The system identifies a particular data object that is unique to the original programming language. The system determines a counterpart data object that is used for a particular purpose as the identified data object in a target programming language. The system creates a second piece of code in the target programming language by replacing the particular data object with the counterpart data object. The system determines if the second piece of code is configured to perform a task that the first piece of code is programmed to perform. In response to determining that the second piece of code is configured to perform the particular task, the system executes the second piece of code.