Identifier Map for Renamed Programming Constructs
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Solution Overview
Problem
Existing programming environments face disruptions and errors when code or data references renamed programming constructs, leading to workflow interruptions and the need for extensive code revisions, which are time-consuming and costly, especially in large code bases.
Innovation Solution
The implementation of a system that detects and maps non-canonical identifiers to canonical identifiers, generating an identifier map that allows code execution without errors, even if the code references outdated identifiers, by parsing mapping information stored in source or object code, and using this map to resolve references at runtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If code references renamed programming constructs using outdated identifiers, then code execution fails with errors, but updating all code references to use new identifiers is time-consuming and costly
Solution Approach 1:
The patent introduces an identifier map as an intermediary data structure that stores mappings between non-canonical (old) identifiers and canonical (new) identifiers. When code execution encounters an outdated identifier, the system queries this map to resolve it to the current identifier, thereby maintaining code execution reliability without requiring manual code updates.
Solution Approach 2:
The system performs preliminary actions by pre-computing and storing identifier mappings in the identifier map during system initialization or when renamings occur. This preliminary preparation enables automatic resolution of outdated identifiers during code execution, eliminating the need for time-consuming manual code revisions.
2Measurement precision
If the system maintains strict identifier matching, then code execution is precise, but any renaming causes workflow disruption and errors
Solution Approach 1:
The identifier map serves as a mediator between strict identifier matching requirements and renaming needs. It preserves precise matching by canonicalizing identifiers while maintaining ease of operation by automatically translating outdated identifiers, thus preventing workflow disruption without sacrificing matching precision.
Solution Approach 2:
The system changes the parameter of identifier resolution from direct matching to mapped resolution. By transforming the identifier lookup process to use the identifier map, the system maintains precise identifier matching while adapting to renaming changes, ensuring workflow continuity.
3Adaptability or versatility
If the system supports multiple identifier versions, then backward and forward compatibility is achieved, but system complexity increases
Solution Approach 1:
The identifier map acts as a centralized intermediary that manages multiple identifier versions. Instead of duplicating compatibility logic throughout the system, all identifier resolution passes through this single map, achieving backward and forward compatibility while minimizing system complexity through centralized management.
Solution Approach 2:
The identifier map provides universal support for multiple identifier versions and renaming scenarios through a single data structure. This multi-functional approach handles various compatibility requirements (backward compatibility with old identifiers, forward compatibility with new identifiers) without requiring separate mechanisms for each case.
4Manufacturing precision
If manual code revision is required for identifier updates, then code accuracy is maintained, but productivity decreases due to extensive revisions
Solution Approach 1:
The system implements self-service by automatically resolving identifier mismatches during code execution using the identifier map. This eliminates the need for manual code revision while maintaining code accuracy, as the automatic resolution process ensures correct identifier substitution without human intervention.
Solution Approach 2:
The patent replaces the mechanical process of manual code revision with an automated computational process. The identifier map and resolution mechanism substitute for human editors, automatically translating outdated identifiers to current ones during execution, thereby maintaining accuracy while dramatically improving productivity.
Data Source
AI summary
Apparatus and methods are described for adapting a programming environment to handle renamed programming constructs such as classes and packages. Non-canonical identifiers that reference renamed programming constructs can be used in code parts to be executed in the programming environment, and the code parts can execute, without disruption or user intervention, using related canonical identifiers. The solutions described herein provide backward and forward compatibility for code and data affected by renaming of programming constructs.