Cross-Runtime Code Modification for Automatic Compatibility Fixes
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Solution Overview
Problem
Managing software versions across heterogeneous runtime environments is challenging due to the difficulty in ensuring up-to-date patches and features, and existing tools fail to address code modifications required for smooth execution across different environments.
Innovation Solution
A system that performs static code checks and uses a knowledge base to identify errors, applying automatic or proposed resolutions to modify code for compatibility between different runtime environments, leveraging a code analyzer and compiler to facilitate cross-environment code modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual code review and code adjustment are performed to ensure feature compatibility across runtime environments, then execution smoothness is improved, but organizational resources and time are significantly consumed
Solution Approach 1:
The system performs self-service by automatically analyzing code compatibility issues and generating proposed resolutions without requiring manual intervention. The code analyzer autonomously identifies incompatibilities between source and target runtime environments and formulates correction suggestions, enabling the system to serve itself in maintaining cross-environment compatibility.
Solution Approach 2:
The patent replaces the mechanical manual code review process with an automated computational system. Instead of human experts manually examining and adjusting code, a code analyzer with compiler integration automatically performs static code checks, identifies compatibility issues, and generates proposed resolutions, substituting human mechanical review with automated computational analysis.
2Reliability
If software versions are updated across all runtime environments to ensure up-to-date patches and features, then software currency is improved, but management complexity increases
Solution Approach 1:
The code analyzer serves multiple functions within a single system: it performs static code checks, identifies compatibility issues across different runtime environments, analyzes compiler error messages, and generates proposed resolutions. This multi-functional approach allows the system to handle software currency maintenance across heterogeneous environments without requiring separate tools for each task, thereby reducing management complexity.
3Productivity
If existing binary code copying tools are used to update software across runtime environments, then updating efficiency is improved, but code modification capability for heterogeneous environments is lost
Solution Approach 1:
The code analyzer acts as an intermediary between binary code copying tools and heterogeneous runtime environments. While copying tools efficiently transfer code, the code analyzer intermediates by analyzing the copied code for compatibility issues specific to each target runtime environment and generating environment-specific proposed resolutions, thereby bridging the gap between efficient copying and adaptive modification.
Data Source
AI summary
A system and method include determination of an error in source program code associated with a source runtime environment, determination of a source code statement of the source program code associated with the error, determination of a similarity between the source code statement and each of a plurality of code statements associated with the source runtime environment, determination, based on the determined similarities, of one of the plurality of code statements which is similar to the source code statement, determination of a first name of a first code portion of the source program code which includes the determined one of the plurality of code statements, determination of a second code portion of program code associated with a target runtime environment and having the first name, and determination of a resolution to the error based on the first code portion and the second code portion.


