Source Code Translation via Target System Constraints
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Solution Overview
Problem
Current software engineering techniques fail to efficiently adapt source code for execution on target systems due to lack of consideration for system-specific constraints, leading to suboptimal performance and resource usage.
Innovation Solution
A system comprising a processor and memory that identifies and translates source code based on target system constraints, using artificial intelligence models for neural machine translation to modify the code for better alignment with the target system's configuration, reducing execution costs like time, power, and memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If source code is written in various languages and libraries for different systems, then source code versatility is improved, but code adaptation complexity increases
Solution Approach 1:
The patent introduces an intermediary translation system that converts source code between different languages and libraries. This mediator automatically handles the complexity of adaptation by translating code written in one language/library to another, eliminating the need for manual adaptation while preserving versatility across multiple systems.
Solution Approach 2:
The translation system provides universal functionality by supporting multiple source code languages and libraries simultaneously. It acts as a multi-functional platform that can translate between various programming languages and library frameworks, allowing a single system to handle diverse codebases without requiring separate adaptation tools for each language pair.
2Productivity
If source code is translated without considering target system constraints, then translation speed is improved, but execution performance deteriorates
Solution Approach 1:
The system performs preliminary analysis of target system constraints before executing the translation. By identifying and incorporating system-specific requirements, hardware architecture, and optimization opportunities in advance, the translation process generates code that is both efficiently produced and optimized for the target system's execution environment.
Solution Approach 2:
The translation system dynamically adjusts translation parameters and optimization strategies based on the identified target system constraints. It modifies code generation parameters, optimization levels, and translation depth to balance translation speed with execution performance, ensuring the translated code meets the specific requirements of the target system.
3Power
If source code is manually adapted for target system configuration, then execution optimization is improved, but development time increases
Solution Approach 1:
The translation system provides self-service by automatically identifying target system constraints and optimizing the translated code without requiring manual intervention. It autonomously analyzes the target system configuration, applies appropriate optimizations, and generates optimized code, thereby achieving execution optimization while eliminating the time cost of manual adaptation.
Solution Approach 2:
The system incorporates feedback mechanisms that analyze the target system constraints and use this information to guide the translation and optimization process. By continuously adjusting the translation strategy based on feedback from system analysis, it achieves optimized execution performance while maintaining efficient automated operation without manual intervention.
Data Source
AI summary
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to port code while adapting the code for a configuration of a target system. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an identification component that identifies a configuration of a target system on which a translated source code is to be executed, and a translation component that translates, based on a constraint defining the configuration, an original source code into the translated source code. In one or more embodiments, the translated source code can comprise a code language not comprised by the original source code and/or can be modified to align with the constraint, which can be of a hardware and/or software configuration.