Project architecture

When defining software architecture, we always want to achieve certain characteristics. For our team, the focus is on flexibility, reusability, and testability. We are guided by these characteristics but are not restricted to them. The main purpose of project architecture is consistency among projects, which makes sharing knowledge and the transition of people among projects easier. We also prefer architecture that helps with standard framework issues or makes them easier to solve. In fact, this was a huge motivation to ditch the old MVP and switch to a new MVVM project architecture.

What is MVVM?

Today, MVVM is a well-known architecture that was developed by Microsoft and was publicly introduced in 2005 (source: Introduction to Model/View/ViewModel pattern for building WPF apps). It consists of three components: Model, View, and ViewModel. Let's take a more detailed look at the components:

MVVM Architecture diagram

Architecture components

Android architecture components are a collection of libraries that help you design robust, testable, and maintainable apps. They serve as the main guideline in building our project architecture backbone. By using Android architecture components we don't have to worry much about managing the app's lifecycle or loading data into our UI. This helps us focus on important and cool stuff in the project.


ViewModel is an important part of the architecture, and it represents the pillar of our business logic. ViewModel's main purpose is to store and manage data for UI. It is designed to survive the activity configuration changes, of which screen orientation is the most common and troublesome one. The below image displays the scope of the ViewModel and its lifetime in memory, with the lifecycle states of an activity as it undergoes rotation and then is finished.

MVVM lifecycle

The ViewModel might sound powerful, but this is just a simple abstract class in the architecture components library. The magic stuff resides in the ViewModelProvider. ViewModelProvider is responsible for the creation and retention of the ViewModel. To create a ViewModelProvider for a specific Activity/Fragment, you should use the ViewModelProviders util class.


LiveData is a lifecycle-aware observable class that is used as a medium for data transfer from the ViewModel to the View. Because of its connection to the activity lifecycle, the number of memory leaks, crashes, and lifecycle synchronization events between architecture layers has reduced. LiveData will take care of notifying the View about the latest data when the time is right. We only take care of preparing correct data.


As LiveData is not best suited to handle the problem of resubscriptions in some use cases (Snackbar, Navigation, and other one-shot events), Google added a custom implementation of LiveData called SingleLiveEvent in the Android Architecture Blueprints. It is a lifecycle-aware observable that sends only new updates after subscription, used for events like navigation and Snackbar messages. For more information regarding this topic, please read this article. However, the SingleLiveEvent implementation from Google has one major setback—it works only with one observer at a time. This issue is addressed and explained in detail in this article. The author of the article proposes an improved implementation, called LiveEvent, which covers the case of multiple observers. The source for implementation: LiveEvent.

What is solved with MVVM?

Since we have LiveDate to take care of lifecycle state changes, we don't have to worry that much about async work that loads our data. We can set the data to LiveData at any time without fear that this is going to crash our app because the View is not ready. This means there is no need to cancel a network call when activity is moved to the background. So, no unnecessary data traffic, repeated calls, checks if we already have the data, or in-memory cache in the activity scope.

The ViewModel together with all the data will survive the activity configuration change. LiveData will again handle the lifecycle state. The View will be up to date. The API will not be bothered with any of this. Developers will be happy for the rest of its life. OK, let's not go so far, we still need to use fragments :).

Most applications contain some screens that can be grouped into a flow. Inside this flow, you will often have to share some data. Information from the previous screen might be needed or might influence some of the future screens. The ViewModel and LiveDate can be the perfect solution for such situations. If you organize a specific flow inside one activity, and all other screens as a fragment, it is easy to share a ViewModel among all fragments and the controlling activity. This makes it easy to share, store, combine, and manage all the data in the flow.


This section will go through some main guidelines on how to implement MVVM in your Android project. We will cover the implementation of MVVM using architectural components from Android that we described in an earlier section.

The user interface in an Android app is made from a collection of View and ViewGroup objects that are located inside of an Activity or a Fragment container. Those two containers represent the View component in the MVVM architecture. You may wonder why an ordinary Android View could not be the View in MVVM? This is a totally valid question, and this can be implemented in many ways, but we will focus on Activities and Fragments because they both implement the LifecycleOwner interface, which gives us an opportunity to use LiveData and ViewModel. Using LiveData and ViewModel gives us a great head start in developing our MVVM architecture.

Let's take a look at the ViewModel first. It is probably a good idea to have a base implementation of the ViewModel that will handle some shared logic and reduce boilerplate in our codebase. This will look something like this:

open class BaseViewModel: ViewModel()

Now we need a means of communication between the ViewModel and the View. But before we write about that, let's see what kind of information our View expects in the communication. In other words, what should we expose to the View from the ViewModel?

In most cases, the View wants to know about the state of the screen so that it can render the changes accordingly. The state of the screen is an object that represents stateful data that the user can see on the screen. To better understand what is part of the screen state, you can look at it in the following way. A part of the state can be any data representation of a UI component that we want the View to render after it is recreated. The end goal is to have the same screen like the one before the View got recreated.

Unlike states, there are things that we do not want to render after a View recreation. For example, displaying self-dismissable messages (Toast, Snackbar, etc.) or some kind of navigation triggers. For this, we need to expose another piece of information to the View, and we call them events. An event is a one-shot trigger that is emitted from the ViewModel and consumed by the View only once.

Considering the concepts of the State and Event, we would adjust our BaseViewModel implementation to be aware of them. The end result would look like this:

open class BaseViewModel<State : Any, Event : Any> : ViewModel() 

We now have the state and events for a specific View, but we are still missing a way to expose these objects to the View. This is where LiveData and LiveEvent implementations come into play. Inside the ViewModel, we need the LiveData objects of state and events that the View can observe. LiveData objects would look something like this:

open class BaseViewModel<State : Any, Event : Any> : ViewModel() {

    private val stateLiveData: MutableLiveData<State> = MutableLiveData()
    private val eventLiveData: LiveEvent<Event> = LiveEvent()

    fun viewStateData(): LiveData<State> = stateLiveData
    fun viewEventData(): LiveData<Event> = eventLiveData

As you can see in the above code, we expose our private stateLiveData and eventLiveData through functions that return immutable LiveData. In this way, we make sure that we do not allow changes to be made to our LiveData objects directly, but, at the same time, we allow observing changes made on our LiveData objects.

To make it easier to use LiveData objects, we can create a convenient backing field and function that will help us manipulate LiveData objects in our specific ViewModel implementation.

open class BaseViewModel<State : Any, Event : Any> : ViewModel() {


    protected var viewState: State? = null
        get() = stateLiveData.value ?: field
        set(value) {
            val viewState = stateLiveData.value
            stateLiveData.value = value

    protected fun emitEvent(event: Event) {
        eventLiveData.value = event

After we have a BaseViewModel implementation, for example LoginViewModel, we have to provide it to the View. This can be achieved using a utility method from the ViewModelProviders class:


In the above code, this represents the LifecycleOwner. In our case, as mentioned earlier, this is either an Activity or Fragment. The above code returns a ViewModel instance which we use to observe LiveData objects.

loginViewModel.viewStateData().observe(this, { state -> 
    // Update the UI state 

loginViewModel.viewEventData().observe(this, { event -> 
    // Handle event

This is now enough to establish a connection between the View and ViewModel.

So far, we've only concentrated on the View and ViewModel, but what about the Model in MVVM? The Model is responsible for managing the data received from a specific data source (Database, Network, etc.), completely UI independent. This means that the Model should expose its data only to the ViewModel. The ViewModel can also request some data from the Model, so it is two-way communication.

At this point, the concept of MVVM and how to implement it should be much clearer and easier to understand. Take into account that the code you saw was very simplified, just to show the conceptual idea of MVVM in Android. This is only one way to implement it, there are many more different kinds of implementation that may include DataBinding or are very Rx heavy.

A textbook example of our proposal of MVVM architecture can be found on this GitHub repo. In the README, you will find all the details for a base setup and using Android architecture components.

For more projects with MVVM architecture, check out the following links: