by Eduardo Bravo Ortiz
“Mobile first” is the motto these days for many companies. However, being able to test a mobile app in a meaningful way is very challenging. On the Google+ team we have had our share of trial and error that has led us to successful strategies for testing mobile applications on both iOS and Android.
- Understand the platform. Testing on Android is not the same as testing on iOS. The testing tools and frameworks available for each platform are significantly different. (e.g., Android uses Java while iOS uses Objective-C, UI layouts are built differently on each platform, UI testing frameworks also work very differently in both platforms.)
- Stabilize your test suite and test environments. Flaky tests are worse than having no tests, because a flaky test pollutes your build health and decreases the credibility of your suite.
- Break down testing into manageable pieces. There are too many complex pieces when testing on mobile (e.g., emulator/device state, actions triggered by the OS).
- Provide a hermetic test environment for your tests. Mobile UI tests are flaky by nature; don’t add more flakiness to them by having external dependencies.
- Unit tests are the backbone of your mobile test strategy. Try to separate the app code logic from the UI as much as possible. This separation will make unit tests more granular and faster.
Separating UI code from code logic is especially hard in Android. For example, an Activity is expected to act as a controller and view at the same time; make sure you keep this in mind when writing unit tests. Another useful recommendation is to decouple unit tests from the Android emulator, this will remove the need to build an APK and install it and your tests will run much faster. Robolectric is a perfect tool for this; it stubs the implementation of the Android platform while running tests.
Hermetic UI Tests
A hermetic UI test typically runs as a test without network calls or external dependencies. Once the tests can run in a hermetic environment, a white box testing framework like Espresso can simulate user actions on the UI and is tightly coupled to the app code. Espresso will also synchronize your tests actions with events on the UI thread, reducing flakiness. More information on Espresso is coming in a future Google Testing Blog article.
Monkey tests look for crashes and ANRs by stressing your Android application. They exercise pseudo-random events like clicks or gestures on the app under test. Monkey test results are reproducible to a certain extent; timing and latency are not completely under your control and can cause a test failure. Re-running the same monkey test against the same configuration will often reproduce these failures, though. If you run them daily against different SDKs, they are very effective at catching bugs earlier in the development cycle of a new release.
Hermetic UI Tests
KIF has proven to be a powerful solution for writing Objective-C UI tests. It runs in-process which allows tests to be more tightly coupled with the app under test, making the tests inherently more stable. KIF allows iOS developers to write tests using the same language as their application.
Following the same paradigm as Android UI tests, you want Objective-C tests to be hermetic. A good approach is to mock the server with pre-canned responses. Since KIF tests run in-process, responses can be built programmatically, making tests easier to maintain and more stable.
iOS has no equivalent native tool for writing monkey tests as Android does, however this type of test still adds value in iOS (e.g. we found 16 crashes in one of our recent Google+ releases). The Google+ team developed their own custom monkey testing framework, but there are also many third-party options available.
A mobile testing strategy is not complete without testing the integration between server backends and mobile clients. This is especially true when the release cycles of the mobile clients and backends are very different. A replay test strategy can be very effective at preventing backends from breaking mobile clients. The theory behind this strategy is to simulate mobile clients by having a set of golden request and response files that are known to be correct. The replay test suite should then send golden requests to the backend server and assert that the response returned by the server matches the expected golden response. Since client/server responses are often not completely deterministic, you will need to utilize a diffing tool that can ignore expected differences.
To make this strategy successful you need a way to seed a repeatable data set on the backend and make all dependencies that are not relevant to your backend hermetic. Using in-memory servers with fake data or an RPC replay to external dependencies are good ways of achieving repeatable data sets and hermetic environments. Google+ mobile backend uses Guice for dependency injection, which allows us to easily swap out dependencies with fake implementations during testing and seed data fixtures.
Mobile app testing can be very challenging, but building a comprehensive test strategy that understands the nature of different platforms and tools is the key to success. Providing a reliable and hermetic test environment is as important as the tests you write.
Finally, make sure you prioritize your automation efforts according to your team needs. This is how we prioritize on the Google+ team:
- Unit tests: These should be your first priority in either Android or iOS. They run fast and are less flaky than any other type of tests.
- Backend tests: Make sure your backend doesn’t break your mobile clients. Breakages are very likely to happen when the release cycle of mobile clients and backends are different.
- UI tests: These are slower by nature and flaky. They also take more time to write and maintain. Make sure you provide coverage for at least the critical paths of your app.
- Monkey tests: This is the final step to complete your mobile automation strategy.
Happy mobile testing from the Google+ team.