Extended Language Precompiler Automating Code Generation
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Solution Overview
Problem
Existing code processing methods are inefficient and error-prone, particularly in high-level languages like COBOL, as they require manual coding for complex tasks, leading to lengthy development times and increased chances of errors.
Innovation Solution
An extended language precompiler system (ELP) that parses and modifies source code prior to compilation, using macros and a scripting language to automate code generation, optimization, and injection of necessary code, thereby simplifying development and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual coding is used for complex tasks in high-level languages, then code can be written with basic tools, but development time increases and error rates increase
Solution Approach 1:
The precompiler performs code generation and optimization tasks before the actual compilation process. Macros are expanded and code is transformed in advance, eliminating the need for manual coding of repetitive tasks during the main development process, thus reducing development time while maintaining productivity
Solution Approach 2:
The patent introduces a precompiler as an intermediary tool between the source code and the compiler. This precompiler uses scripting languages and macro systems to automatically generate and optimize code before compilation, serving as a mediator that bridges manual programming and automated code generation, thereby reducing both development time and error rates
2Reliability
If manual coding is used for complex tasks, then basic programming tools suffice, but error rates increase
Solution Approach 1:
The precompiler acts as an intermediary that automatically processes and validates code before compilation. It uses scripting languages and macro systems to generate error-free code templates, reducing manual errors while the systematic processing approach manages the inherent complexity through structured methodologies
Solution Approach 2:
The system enables self-service through automated code generation and validation. The precompiler automatically detects and corrects common errors, validates macro expansions, and ensures code correctness without requiring extensive manual review, thereby improving reliability while the automation handles the complexity
3Productivity
If automated code generation is implemented, then development efficiency improves, but system complexity increases
Solution Approach 1:
The precompiler system is segmented into distinct functional components: macro processing, scripting language execution, code generation, and optimization modules. This segmentation allows each component to handle specific tasks efficiently, improving overall code processing efficiency while managing system complexity through modular design
Solution Approach 2:
The precompiler is designed as a universal system that can handle multiple programming languages and task types through scripting languages. This multi-functionality allows a single automated system to perform various code generation and optimization tasks across different languages, improving productivity without proportionally increasing complexity
Data Source
AI summary
A system is provided that is adapted to process source code. In one implementation, and extended language precompiler is provided that processes source code according to user-definable parameters which permits a number of actions to be performed with respect to the code prior to compilation. In one example, the precompiler may insert, replace, analyze or substitute code within the original source code, and produce output source code that can be compiled by a compiler.