Modular Software Framework for Asynchronous Code Management
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Solution Overview
Problem
Existing software systems face challenges in processing large data sets and modifying complex code due to excessive system resource consumption and difficulty in identifying and modifying asynchronous execution structures, which leads to significant overhead in normalization processes.
Innovation Solution
A framework system that separates execution flow and data flow, converting software code into modular code with graphical representations, allowing users to modify modular code which automatically updates the associated software code, and enabling synchronous, asynchronous, or combined execution modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If software code is written in a single large file to handle complex query processing, then the system can process large data sets, but the code becomes difficult to modify and maintain
Solution Approach 1:
The patent divides the single large software file into multiple smaller modules, each handling specific query processing tasks. This segmentation allows the system to maintain query processing capability while making individual modules easier to modify and maintain without affecting the entire codebase.
Solution Approach 2:
The patent introduces a framework layer that acts as an intermediary between the user and the query processing system. This framework provides standardized interfaces and abstractions, allowing users to modify query logic through the framework's modular components rather than directly editing large monolithic code files.
2Productivity
If asynchronous execution structures are used to improve job processing efficiency, then concurrency is improved, but identifying and modifying these structures becomes problematic
Solution Approach 1:
The framework introduces intermediary components that wrap and manage asynchronous execution structures. These intermediaries provide standardized interfaces that make asynchronous operations visible and manageable, allowing developers to identify and modify asynchronous structures through the framework's consistent abstraction layer rather than dealing with scattered async code.
Solution Approach 2:
The framework implements feedback mechanisms that track and report on asynchronous job execution. This feedback system provides visibility into asynchronous structures through standardized events and interfaces, making it easier to identify, monitor, and modify asynchronous execution flows without losing the concurrency benefits.
3Adaptability or versatility
If files are normalized for flow control programming to enable passage to different machines, then system compatibility is improved, but significant overhead is introduced especially when large numbers of files are passed
Solution Approach 1:
The framework performs normalization preparations in advance by establishing standardized data structures and protocols at the framework level. By pre-configuring compatibility layers and standard interfaces, the system reduces the need for repeated normalization operations when files are passed between machines, thereby reducing overhead while maintaining compatibility.
Solution Approach 2:
The framework implements universal, machine-agnostic data structures and communication protocols that work across different systems without requiring extensive normalization. This multi-functional approach allows the same standardized interfaces to handle file passage between various machines, reducing the overhead associated with repeated normalization processes.
Data Source
AI summary
Presented are systems and methods of operation for a framework system. The framework system acquires software code and modularizes the software code to create an associated modular code, wherein the modular code is composed of a plurality of synchronous and asynchronous modular elements. The framework system modifies the modular code using a modular element, and automatically modifies the software code based on the modified modular code.