SMT-Guided Inductive Equivalence for Vetted Code Replacement
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Solution Overview
Problem
Existing software often includes inefficient or less than ideal code portions due to the time requirements associated with finding and reviewing existing software, lack of knowledge of its presence, or personal preference, leading to suboptimal performance and resource usage, particularly in mobile computing where storage, processing, and power are critical.
Innovation Solution
A machine-based system uses SMT solvers and automated theorem provers to identify functionally equivalent candidate functions and automatically transform them into vetted, preferred functions, ensuring equivalence within defined hypothesis strength and resource limitations, thereby optimizing code for efficiency, security, and readability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If programmers manually review and select existing software code, then code quality and performance can be improved, but time consumption and development efficiency deteriorate
Solution Approach 1:
The system enables self-service by automatically identifying functionally equivalent code segments and generating replacement code without human intervention. The automated code review system analyzes existing code, finds equivalent implementations, and performs replacements autonomously, eliminating the need for manual programmer review while maintaining code quality improvements
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated computational system. Instead of programmers manually examining and comparing code segments, an automated system uses algorithms to identify equivalent code and generate optimized replacements, substituting human mechanical review with automated mechanical processing
2Adaptability or versatility
If programmers write new code instead of using existing software, then personal preference and customization are satisfied, but development time and resource usage increase
Solution Approach 1:
The system uses copying by identifying existing functional code segments and creating copies or variations of them for replacement. Instead of requiring programmers to write code from scratch to satisfy personal preference, the system copies proven functional implementations and adapts them to the specific context, maintaining customization while improving development efficiency
3Productivity
If inefficient code is used in mobile computing, then development speed is maintained, but storage, processing, and power consumption worsen
Solution Approach 1:
The system performs preliminary action by automatically identifying and replacing inefficient code segments before the software is deployed to mobile devices. The automated code review and replacement process occurs during development, preparing optimized code in advance so that when the software runs on mobile devices, it consumes less power and resources without requiring slower development processes
Data Source
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AI summary
Computer software development has produced many advances within computer science and in most aspects of modern society. Even with modern quality control, bug finding, and other code checking applications, computer software is often less than ideal. A developer may write code that is functionally accurate but lacks security, documentation, speed, storage, reusability, or other element that may make a segment of software code less than ideal. Identifying equivalent code, within a defined hypothesis strength and/or resource limitation, and, when found, replacing it with a vetted equivalent promotes the deployment of software that is more robust, secure, usable and reusable, and/or satisfies performance or other objectives.