Source Code Component Hashing for Selective Rebuilds
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Solution Overview
Problem
Long and complex source code files in software applications lead to increased build times and inefficient use of compute resources, with existing methods only detecting changes at the file level, failing to identify specific components affected by code changes.
Innovation Solution
The implementation of scoped variable identifiers (SVIs) within source code blocks, conversion to syntax trees, hashing of code strings, and comparison with past versions to detect changes, allowing for selective rebuilding of affected components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire source code file is compiled and built whenever any change is detected, then all components are ensured to be up-to-date, but build time increases significantly and compute resources are wasted on unchanged components
Solution Approach 1:
The patent segments the source code file into multiple components, each with its own scope and variables. By analyzing syntax trees and comparing hash digests of individual components rather than the entire file, the system identifies only the specific components that have changed. This segmentation enables selective rebuilding of affected components only, resolving the contradiction between ensuring all components are up-to-date and minimizing build time.
2Reliability
If the entire source code file is compiled and built whenever any change is detected, then all components are ensured to be up-to-date, but compute resource usage increases unnecessarily for unchanged components
Solution Approach 1:
The patent segments the source code file into multiple components, each with its own scope and variables. By analyzing syntax trees and comparing hash digests of individual components rather than the entire file, the system identifies only the specific components that have changed. This segmentation enables selective rebuilding of affected components only, resolving the contradiction between ensuring all components are up-to-date and minimizing build time.
3Adaptability or versatility
If code changes are made to lengthy and complex source code files, then functionality can be updated, but the risk of errors and information loss increases due to inability to detect specific variable changes
Solution Approach 1:
The patent introduces syntax trees as an intermediary representation between the source code and the build process. By converting code blocks into syntax trees and comparing their hash digests, the system can precisely detect changes to specific variables and components. This intermediary enables accurate tracking of variable changes during hot module replacement, reducing errors and information loss while maintaining code update capability.
4Productivity
If scoped variable identifier analysis, syntax tree conversion, and hash comparison are implemented, then build time is reduced and resource usage is minimized, but system complexity increases
Solution Approach 1:
The patent implements an autonomous analysis system that automatically performs syntax tree conversion, hash digest generation, and change detection without requiring manual intervention. The system self-manages the complex processes of parsing source code, comparing versions, and identifying affected components, thereby improving build efficiency while containing system complexity through automation rather than manual procedures.
Data Source
AI summary
An embodiment may involve obtaining a representation of portions of source code and the portions of the source code may be associated with a component of a software application, generating a code string based on the representation of portions of the source code, generating a hash digest based upon the code string, determining, based on the hash digest and a previous hash digest, that the portions of the source code satisfy a change condition, and in response to determining that the change condition is satisfied, updating the component of the software application in relation to the portions of the source code.