10 Best Practices For Automated UI Testing In Android
Automated UI testing in android is the procedure of testing Android applications for UI issues. The Google Play Store Android official application store hosts around 2.87 million Android applications on its platform. This number excludes third-party hosting that is large in number and is not on the Google Play Store. Such a huge number of applications provides the end-user with various options on a single type of application.
We cannot resist skipping the Android UI testing with such high competition as a developer. The main aim of Automated UI testing in Android is checking how the application is performing when the user is interacting with that. Secondly, how the end-user views the application. Both these cases are essential for the application to sustain itself in the market.
You can perform Android UI testing through two means:
- Through manual efforts
- Through automated design
Both these techniques could be used and are crucial in Automated UI testing in Android. You can look at the section manual and automated testing in the mobile testing guide for comparing them. Many scenarios cannot be checked by automation scripts and can be better analyzed using manual techniques.
Technical tips on Android UI testing
This section will be focusing on the technical methods of Android UI testing. These tips will be more focused on the test and professionals committed to Android app development and testing.
Testing on real devices.
The first thing to be understood in UI testing is that the device has a lot to do with visual appearance. You can use an emulator for testing. Still, when an Android application is opened on a real device, there will be few different challenges. It is always advisable to use a real device for Automated UI testing in Android and exploring all the challenges before an end-user does.
Never ignoring manual testing
Sometimes the manual testing method is perceived as a method that requires lower capabilities, demanding hire time, and too much effort. Automation appears to be a winner at many times when asked between manual and itself. There is no replacement for manual testing in our personal experience, but repeated tasks are done through manual work.
Consider frameworks in Android UI testing
frameworks are extensively useful while performing Android UI testing tools. It provides a structure that can satisfy the majority of the requirements of a developer or a tester. These frameworks must apply some logic to the program before passing it through the back and system for processing.
If a programmer needs to write the comments on functions and other code, it could not be clear enough. It has been a standard strategy in development and testing, and the requirement for comment shouldn’t arise if the function speaks for itself.
Search practice improves your Android UI test for other teammates and improves you professionally as a tester. Avoiding comments also indicate that you will be forced to write simpler tests for converting complex tests to simpler ones.
This ability will prove useful professionally, although you will not be required to go to a 0 comment policy. Sometimes, a comment is necessary, but you should always remember that it should only be used when it’s extremely necessary to test the code you are writing.
Tests should not be performed independently.
Dependency on tests has been an issue for the argument for some time now. Some testers conclude that they need to test complex dependencies among the module resulting in complex results. While others neglect this fact, this opinion dependency hardly brings anything beneficial to the table.
There are many miscalculations while dealing with the dependent test in Android UI testing tools. Your test cases could fail due to the failure of another test case that will be an abrupt list stopping everything. Moreover, dependent test cases are hard to read, and you may find a dependency and then move to the test for understanding it.
Performing usability testing
Usability testing is the process of testing your application with real, and user and the best part of this thing are that the product is meant for the end-user, and you will be getting an honest opinion.
The problem with the test is that they are inclined to think technically about a problem and the challenges. An end-user will think from a different perspective, and a lot of times, it would be better if a model popped up rather than another page.
Including data-driven tests
Data-driven test 3 last list of data into the test script and perform the test, again and again, using different data types. What started as a tiresome manual process has now leveraged the power of automation today. Data-driven tests would point out various works through automation faster and without any manual efforts.
Aim for less than 100 per cent OS coverage.
You can declare some target devices before we begin Automated UI testing in Android on our application. We communicate with target devices that our application is designed for these devices and is consistent across all of them. After that, we must ensure that our application’s user interface is consistent and functions as expected across all target devices. Is it, however, necessary to test this on any operating system?
Sure, cross-browser compatibility testing necessitates rigorous testing through a variety of browser-OS combinations. While the usability and functionality of the software will remain unchanged, a tester would also need to run it through its paces to look for elements that might not be showing up correctly on certain devices.
Scenarios for Group Testing in terms of logic
You’ll compile many test cases to test the accuracy and point out bugs in the program when conducting android UI testing tools on an android smartphone application. The problem is that if such tests are performed infrequently, it is difficult to determine the intensity, but it also affects all subsequent tests and overall coverage. In such cases, grouping the tests is extremely beneficial.
Keep a record of the test results.
Logs serve as a record of all that occurs during the testing phase. Which of my status codes, for example, were not 200, and if they weren’t, what were they? It is then easier to determine the cause of failure, which aids in a fast repair. Logs also provide us with useful information for reports and the future.
For example, suppose I wanted to know the time it took for a server to respond to a page in my Android application. You can report the time, and these metrics can be compared to new metrics to judge success when a new version is published.