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Module-centric

Module-centric describes a design philosophy, approach, or system that prioritizes the organization and functionality of individual, independent modules or components. This approach emphasizes modularity, allowing for easier development, maintenance, modification, and reuse of code or systems. A module-centric design often features well-defined interfaces between modules, promoting loose coupling and minimizing dependencies. It focuses on breaking down complex tasks into smaller, manageable units, thereby improving overall system flexibility, scalability, and testability. This contrasts with monolithic approaches where everything is tightly integrated and changes in one area can have far-reaching effects.

Module-centric meaning with examples

  • The company's new software architecture is module-centric, with each component operating independently, linked together with a lightweight API. This approach allowed for faster updates and easier bug fixes. This system makes the software highly scalable, supporting the growth of the company. New features can be added quickly and efficiently without disturbing the rest of the system.
  • In education, a module-centric curriculum allows students to focus on specific topics or skills in self-contained units. Students were able to build on these units through interactive modules. Each module builds towards a deeper understanding of the subject. Assessment is module-centric, making progress easier to evaluate and adapt as needed for student comprehension.
  • The manufacturing process adopted a module-centric design, allowing for the easy assembly and disassembly of the product's components. The manufacturing process runs smoothly because of the independent modules. Parts can be easily replaced. This design improved the manufacturing process overall. It minimizes downtime in case of malfunctions.
  • Their research project adopted a module-centric methodology for data analysis, with distinct modules handling data cleaning, processing, analysis, and reporting. The data used can be replaced for the modules. Modules can be reused in future analysis. This helped in improving the performance. This makes the results more reliable and accurate with each analysis.

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