Software Development Process Controller for Consistent Code Updates
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Solution Overview
Problem
Existing software development processes face ambiguities and conflicts due to inconsistencies in requirements, leading to repetitive revisions and resource inefficiencies, particularly when using automatic code generation tools.
Innovation Solution
A software development process controller that automates the management of project information, generates new project items, monitors communication channels, and approves changes to ensure consistency, thereby reducing ambiguities and conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual software development processes are used, then flexibility and adaptability are maintained, but productivity and resource efficiency deteriorate
Solution Approach 1:
The system enables self-service through automated code generation where the development environment automatically creates code based on visual models without requiring manual coding. The process controller automatically manages project information, generates code, and handles revisions, allowing the system to serve itself rather than requiring continuous human intervention for routine tasks.
Solution Approach 2:
The patent replaces manual mechanical software development processes with an automated electronic system. Visual models are automatically translated into code through computer processing, eliminating the need for manual typing and reducing human error. The system substitutes human labor with automated computational mechanisms for code generation and management.
2Productivity
If automatic code generation is implemented, then productivity is improved, but reliability deteriorates due to code generation errors
Solution Approach 1:
The system incorporates feedback mechanisms where generated code is automatically reviewed and tested. The process controller monitors communication channels for revisions and updates, creating a feedback loop that continuously improves code quality. Test results and user feedback are fed back into the system to refine future code generation and ensure accuracy.
Solution Approach 2:
The system performs preliminary actions by automatically generating and testing code before it is finalized. Visual models are pre-processed to ensure correctness, and generated code undergoes preliminary testing to detect and correct errors before deployment. This advance preparation prevents errors from propagating through the software development lifecycle.
3Adaptability or versatility
If requirements are frequently updated, then adaptability is improved, but loss of time increases due to repetitive revisions
Solution Approach 1:
The system performs preliminary actions by establishing a structured project information template before development begins. All requirements are captured in a standardized format that automatically generates the initial code structure. This preliminary organization allows future revisions to be applied systematically without requiring time-consuming rework of the entire project.
Solution Approach 2:
The patent segments the software development process into distinct modular components. Project information is divided into separate fields and parameters that can be independently updated. This segmentation allows specific requirements to be modified without affecting the entire codebase, enabling flexible updates with minimal time loss as only the affected segments need revision.
4Manufacturing precision
If centralized project information management is implemented, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The process controller serves multiple functions within a single centralized system. It manages project information storage, code generation, communication channel monitoring, revision tracking, and quality control. By consolidating these diverse functions into one universal controller, the system achieves centralized management precision without proportionally increasing complexity, as the same controller handles all tasks rather than requiring separate specialized systems.
Data Source
AI summary
In some implementations, a device may receive via a form, a set of requirements associated with generation of program code. The device may generate a program code generation item based on the set of requirements. The device may store, via a first system, the program code generation item. The device may generate program code for the program code generation item based on the set of requirements. The device may receive information identifying a new requirement for the program code generation item. The device may obtain an approval of the new requirement. The device may generate updated program code for the program code generation item based on the new requirement and based on obtaining the approval. The device may store the updated program code in the first system in connection with the program code generation item.