https://github.com/ehvenga/backward.compatible.modular.system.configuration-fastapi-nextjs

Modular System Configuration: Optimizing backward compatibility for efficient product design and development. A dynamic programming approach to streamline system configurations, enhance collaboration, and reduce costs.
https://github.com/ehvenga/backward.compatible.modular.system.configuration-fastapi-nextjs

backward-compatibility dynamic-programming modularization nextjs typescript

Last synced: 23 days ago
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Modular System Configuration: Optimizing backward compatibility for efficient product design and development. A dynamic programming approach to streamline system configurations, enhance collaboration, and reduce costs.

• Host: GitHub
• URL: https://github.com/ehvenga/backward.compatible.modular.system.configuration-fastapi-nextjs
• Owner: ehvenga
• License: cc0-1.0
• Created: 2024-02-08T08:34:40.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-06-14T02:46:59.000Z (6 months ago)
• Last Synced: 2024-11-30T05:29:10.837Z (23 days ago)
• Topics: backward-compatibility, dynamic-programming, modularization, nextjs, typescript
• Language: Python
• Homepage:
• Size: 19.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Modular System Configuration

Welcome to the Modular System Configuration project! This repository houses the implementation of a dynamic programming approach for optimizing backward compatibility in system configurations.

## Overview

Modularization is a key strategy in product design and system configuration, enabling efficient mass customization and reducing development cycles. This project focuses on enhancing the efficiency and compatibility of modular systems through dynamic programming techniques.

## Features

- Efficient optimization of system configurations

- Consideration of backward compatibility for seamless integration

- Streamlined collaboration and concurrent engineering practices

- Reduction of costs and resource wastage

## Getting Started

1. Clone the repository: `git clone https://github.com/your-username/modular-system-configuration.git`

## Data Set

1. Optimality Test Data: Datasets to assess the algorithm's solution optimality.

2. Scalability Test Data: Datasets for evaluating the algorithm's performance with larger-scale problems.

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Enjoy optimizing your system configurations with our dynamic programming solution! If you have any questions or feedback, please don't hesitate to reach out.