How to efficiently tackle mobile Application Testing?

Let’s take a look at how you can efficiently tackle Mobile Apps Testing
Manual Testing
Manually testing a mobile application is most suited for evaluation and analysis. It is a user centric approach that focusses on verifying whether the app meets all the user requirements. The best scenario to deploy Manually Testing is for evaluating the user experience and user interface of an application. Ideally, this should account for just around 20% of your testing, the rest should be automated.
Automated testing
Automated testing should be set up for as many scenarios as possible. Automation is the most important testing activity. You can set a schedule to configure entire libraries or series of tests as and when required. They work seamlessly with your continuous integration system. In case you don’t have such a system a competent set of automated tests will prevent relapses and keep your application robust. The various test cases that should be automated are:
• Frequent test cases
• Cases that can be easily automated
• Cases where the result can be predicted
• Manual cases that are tedious
• Cases that are impossible to manually perform
• Cases that require several different configurations, software platforms and hardware
• Cases that have frequently used functionalities

Here are a few strategies to test your mobile application
Performance Test Automation
Automation for performance testing can be started out with all the information gathered during functional testing. These test cases can be modified for scalability and concurrency.
Performance Unit Tests
Performance unit tests can be designed way before the actual coding. Essentially, performance test driven development (TDD) is an approach that mobile application testing experts follow, wherein performance expectations and tests for a module is created before writing the code. Identify specific code areas that could end up as bottlenecks and device tests that assess their scalability.
A Modular Approach
When you create performance unit tests, you wind up having several different units that can be clubbed to make a modular library of test series that can be easily adapted and scaled to suit different test scenarios. These simple units can be arranged to create complex interactions that thoroughly test complicated test instances.
Synthetic Users
The system would consider a synthetic user as a regular user and respond as it would to a user. Whereas, in reality, they are a set of instructions that are programmed to execute a specific transaction path within a live environment just as a user would do. These instructions are marked up and fully instrumental enabling us to analyze the metrics reported.

Leverage Cloud
Performing load tests on the cloud makes Gateway Technolabs realistic as the unit you are testing would have to go through the very same network layers, firewalls and load balancers that then actual user would have to go through. Cloud also enables you to spread the load sources over different geographies to achieve realistic testing scenarios. You would be able to scale up or down, as well as, test specific functionality easily this way.


Awesome. Thanks for sharing some best practices. It would be interesting to see how people end up integrating the automated tests into Bubble. Has anyone already implemented automated testing?

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I’m looking to put some automated regression tests in place. Anyone else have any experience with functional testing a Bubble app? Any advise on how to build tests that aren’t brittle?

Hello. Found this post very informative. Does anyone here have recommendations on the tools to use to accomplish the above? Thank you!