Executable Constraints Document for Code Validation
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Solution Overview
Problem
Conventional code generators fail to accurately document and validate assumptions, assertions, and optimizations in generated code, leading to inadequate runtime validation and increased testing costs when the code is ported to new target systems.
Innovation Solution
A system that generates an executable constraints document during code generation, which includes information about assumptions and optimizations, allowing for dynamic validation and documentation of the code, enabling runtime validation and reducing the need for exhaustive testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If code generator performs optimization based on assumptions, then code efficiency is improved, but validation difficulty increases when porting to new target systems
Solution Approach 1:
The patent applies preliminary action by generating an executable constraints document during the code generation process itself. This document captures all assumptions, assertions, and optimizations made during code generation, making them available for future validation when the code is ported to new target systems, thereby eliminating the need for extensive re-testing.
Solution Approach 2:
The patent implements feedback by creating a traceable link between code features and their source specifications through the executable constraints document. This document provides feedback information about what assumptions were made during optimization, allowing validators to verify whether those assumptions still hold on new target systems without exhaustive testing.
2Reliability
If extensive testing is performed to verify code on new target systems, then code reliability is improved, but time consumption increases
Solution Approach 1:
The executable constraints document is generated in advance during code generation, capturing all validation-relevant information before the code is deployed to new systems. This preliminary documentation enables rapid validation on new target systems by providing a checklist of assumptions to verify, dramatically reducing the time required for validation while maintaining reliability.
3Loss of information
If static diagnostic information is used for code validation, then information availability is improved, but runtime validation capability deteriorates
Solution Approach 1:
The patent transforms static diagnostic information into dynamic runtime validation capability by creating an executable constraints document. This document contains executable code that can be run at runtime on new target systems to automatically verify whether assumptions and assertions still hold, converting previously static information into an active validation mechanism.
4Device complexity
If code is optimized without documenting assumptions, then code complexity is reduced, but adaptability worsens when porting to different systems
Solution Approach 1:
The patent applies segmentation by separating the code into two distinct components: the optimized functional code and the executable constraints document. The constraints document segments and captures all assumptions, assertions, and optimizations made during code generation, making this information independently available for validation on new target systems without adding complexity to the functional code itself.
Data Source
AI summary
A computer readable medium including executable instructions that when executed perform a method for validating an optimization in generated code using an executable constraints document is provided. The medium can include instructions for relating an assumption to the optimization during code generation. The medium can include instructions for generating the executable constraints document during the code generation, the executable constraints document including information about the relating; and the medium can include instructions for executing the constraints document when the validating is performed, the validating including performing an operation based on a validation result produced by the validating, where the operation includes displaying the validation result to a user, storing the validation result, sending the validation result to a destination, or modifying the generated code.