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Difference Between MVC and MVVM Architecture Pattern in Android

Developing an android application by applying a software architecture pattern is always preferred by the developers. An architecture pattern gives modularity to the project files and assures that all the codes get covered in Unit testing. It makes the task easy for developers to maintain the software and to expand the features of the application in the future. MVC (Model — View — Controller) and MVVM (Model — View — ViewModel) are the two most popular android architectures among developers.

The Model—View—Controller(MVC) Pattern

The MVC pattern suggests splitting the code into 3 components. While creating the class/file of the application, the developer must categorize it into one of the following three layers:



The Model — View — ViewModel (MVVM) Pattern

MVVM pattern has some similarities with the MVP(Model — View — Presenter) design pattern as the Presenter role is played by the ViewModel. However, the drawbacks of the MVP pattern has been solved by MVVM. It suggests separating the data presentation logic(Views or UI) from the core business logic part of the application. The separate code layers of MVVM are:



Difference Between MVC and MVVM Design Pattern

MVC(Model View Controller)

MVVM(Model View ViewModel)

Oldest android app architecture. Industry-recognized architecture pattern for applications.
User Inputs are handled by the Controller. The View takes the input from the user and acts as the entry point of the application.
Controller and View exist with the one-to-many relationship. One Controller can select different View based upon required operation. Multiple View can be mapped with single ViewModel and thus, the one-to-many relationship exists between View and ViewModel.
The View has no knowledge about the Controller. The View has reference to the ViewModel.
This architecture has high dependency on the Android APIs.  Has low or no dependency on the Android APIs.
Difficult to make changes and modify the app features as the code layers are tightly coupoled. Easy to make changes in application. Howerver, if data binding logic is too complex, it will be a little harder to debug the application.
Limited support to Unit testing. Unit testability is highest in this architecture.
It does not follow modular and single responsibility principle. Follows modular and single responsibility principle.

Overall, the main difference between MVM and MVVM is the role of the mediator component. In MVM, the Model serves as the mediator between the View and the Model, while in MVVM, the ViewModel serves as the mediator between the View and the Model. MVM is a simpler pattern, while MVVM is more flexible and allows for a cleaner separation of concerns between the different layers of the application. While both MVM and MVVM are useful patterns for organizing the code for a software application, MVVM offers a number of advantages over MVM, here are a few of them:

  1. Improved separation of concerns: In MVVM, the ViewModel serves as a mediator between the View and the Model, which allows for a cleaner separation of concerns between the different layers of the application. This can make it easier to maintain and modify the codebase over time.
  2. Better testability: Because the ViewModel is responsible for exposing the data and logic of the Model to the View, it can be easier to test the ViewModel separately from the View. This can make it easier to ensure that the application is functioning correctly and can make it easier to identify and fix bugs.
  3. Greater flexibility: The ViewModel in MVVM is more flexible than the Model in MVM, as it can expose data and logic from the Model in a way that is easier for the View to consume. This can make it easier to create different views for the same data and logic, or to reuse the same ViewModel with multiple views.
  4. Better support for multiple developers: Because the MVVM pattern allows for a cleaner separation of concerns between the different layers of the application, it can be easier for multiple developers to work on different parts of the codebase concurrently. This can improve the efficiency of the development process and reduce the risk of conflicts between different parts of the codebase.
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