Syntactic Abstraction for Idiomatic Code Refactoring
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Solution Overview
Problem
Existing code bases often contain idiomatic code that leads to inefficiencies and errors due to its peculiarities and differences, resulting in suboptimal performance and error-prone operations.
Innovation Solution
A system and method to identify and refactor idiomatic code by generating syntactic abstractions that associate semantic information with control structures, allowing for the selection of idioms based on coverage and information content, and replacing them with more efficient operators or functions, such as those in LINQ constructs, to enhance code performance and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If idiomatic code is used in a code base, then code readability and developer familiarity are improved, but code efficiency and performance deteriorate due to peculiarities and differences
Solution Approach 1:
The system changes the structural parameters of idiomatic code by generating syntactic abstractions that transform common programming patterns (like loops and conditionals) into optimized forms. This allows the code to maintain readability through abstraction while improving execution efficiency by eliminating redundant operations inherent in idiomatic patterns.
Solution Approach 2:
The patent substitutes manual code review and refactoring processes with an automated system that uses syntactic abstractions and machine learning models to identify and optimize idiomatic code. This replacement of mechanical manual processes with automated analysis significantly improves code efficiency while preserving readability.
2Productivity
If idiomatic code patterns are used, then code development speed is improved, but reliability and error-proneness deteriorate
Solution Approach 1:
The system implements feedback by analyzing code bases to identify idiomatic patterns, generating syntactic abstractions, and automatically refactoring code to eliminate error-prone patterns. This continuous feedback loop maintains high development speed while improving reliability by systematically correcting issues in commonly used code patterns.
Solution Approach 2:
The patent applies preliminary anti-action by proactively identifying and refactoring problematic idiomatic code patterns before they cause runtime errors or performance issues. The system anticipates potential failures in commonly used patterns and prevents them through automated refactoring, thereby improving reliability without slowing development.
3Measurement precision
If syntactic abstractions are generated to represent programming constructs, then code analysis precision is improved, but system complexity increases
Solution Approach 1:
The system segments the code analysis process into distinct components: parsing code into abstract syntax trees, generating syntactic abstractions for specific patterns, analyzing these abstractions for optimization opportunities, and applying refactoring transformations. This segmentation improves analysis precision by focusing on specific patterns while managing system complexity through modular processing.
Solution Approach 2:
The patent creates universal syntactic abstractions that can represent multiple specific programming constructs (different loop types, conditional patterns, etc.) using a unified framework. This universality improves analysis precision by providing consistent pattern recognition while reducing system complexity by avoiding the need for separate analysis mechanisms for each construct type.
Data Source
AI summary
Techniques to identify idiomatic code in a code base are described. Embodiments of such techniques are configured with idiom information corresponding to idiomatic code representations of computer code of which each idiomatic code representation comprises information corresponding to a control structure and variable usage. These techniques are operative to compare the idiomatic code representations to computer code fragments in the code base and identify one or more code fragments matching at least one of the idiomatic code representations. These techniques may identify functional operators for replacing the code fragments in the code base. Other embodiments are described and claimed.