5 Effective Ways To Increase App Test Coverage- Best In 2021

Effective ways to increase App Test Coverage

Providing high-quality apps is the primary goal of your testing endeavours, but that’s not the end of the game. For building high-quality apps you have to test enough and find room for improvement regularly. Well in the nutshell I am hinting towards the app test coverage.

Having a measure on app test coverage helps you to be accountable for the number of device browser and OS combinations you are testing per day and find ways to improve the app test coverage. In this blog, we will define app test coverage and speculate the ways for improving it.

What is Test Coverage and why is it Important?

Test coverage simply means how much of your app you test. More the device, browser and OS combinations you cover for testing apps and the more codes your test cover, the higher is the test coverage. It is unrealistic to achieve 100% test coverage, moreover, 70% test coverage would be enough for you.

Measuring your test coverage is crucial to understand how much test coverage you need to improve, otherwise, increasing test coverage might prove extra time consuming and you might fail to achieve the deal line for developing apps. The first step is to measure how much test coverage is required to build a stable and reliable application and post that find room for improvement. So let’s dive deeper into the ways effective for increasing the test coverage.

Setting goals is the First Step

Test coverage essentially requires planning and setting goals. First of all, we need to plan the number and the type of devices, OS and browsers we require for application testing. We need to keep a close watch on the latest device and OS versions in the market, remove the browsers and OS versions that have disappeared in the market, find out the products that the customers are using the most to achieve spectacular results.

To find the devices, OS and browsers used by your users, you can make use of the google analytics report. Google Analytics gives you a detailed report of the devices and browsers used by your users. This will help you in updating your list of devices, browsers and OS when new devices are released in the market and when the older ones disappear from the market.

Once your device coverage list is done, you have to plan which test and how many times you need to run a particular test on the devices and the device browser combinations, otherwise you will end up wasting unnecessary time and would not achieve the deal line. In short, you have to take into account what workflow you can afford to achieve the desired results.

Also, you have to take care of other real-world situations like testing the network connectivity and how to get it done in a stipulated amount of time.

Watch your Code Coverage and eventually increase it

Finding code courage is essential because traditionally, many development teams defined their test coverage concerning the code coverage. But what is code coverage? So, first of all, let us understand what code coverage is and how we can calculate it?

Code coverage is determined by how many lines of code a module consists of and how many of these lines get executed in test cases.

The formula to calculate the code coverage is as follows :

( code lines executed for test/ total code lines ) * 100 = code coverage in percent

You can run the code coverage in a continuous integration tool against all your code to know your code coverage. The results of this will give you true insight into the code coverage and after sharing this report with your team, they can work on the test codes which were not covered.

Hence the more tests you perform for the components, the fewer undetected bugs are awaiting your users.

Utilize Parallel testing to test on a large scale

Testing on a large scale is very important to utilize the automated test scripts prepared by the developers. For example, if you run your automated test cases through only one device would be better or running the test cases through multiple devices would be better? So it’s always better to test the application through multiple devices and browsers in parallel.

Hence parallel testing with automation testing increases the quality of the application under test. Hence one should make sure that you use a test environment that supports an unlimited number of device integration so that you can test multiple device browser combinations in one go. This also increases the speed of testing eventually. Hence parallel testing is imperative to improve test coverage.

Scalability is the Key

As discussed earlier, parallel testing increases the test coverage but, as discussed earlier you need to plan particular devices to include for testing. That means we should be able to add the upgraded versions and remove the unwanted versions easily to achieve spectacular results.

To achieve this, we need a highly scalable testing environment. Maintaining a physical device lab would be extra complicated and non-conducive to achieve good stability. So using simulators and emulators is the solution. Would simulators and emulators give accurate results, obviously not as accurate as of the real devices. So let’s find the right solution in the later section of the article.

Using Cloud testing platforms has bonus effects

Cloud-based testing platforms are boon for increasing device coverage, code coverage and obviously the test coverage. A cloud testing platform offers an extremely conducive environment for improving the test coverage and you can host real devices in the cloud and its best example would be pCloudy which is a continuous testing platform, hosting real devices in the cloud for mobile application testing and web applications testing.

In cloud testing platforms you can easily perform parallel testing and by nature, it is highly scalable. You can easily integrate the best test automation frameworks to achieve speed and improve automation testing by adopting advanced methodologies like continuous testing or machine learning to achieve rapid automation.

Hence cloud platforms offer that environment which would definitely make room for increasing test coverage. The factors like high scalability, 24/7 access, supporting seamless integration of multiple tools etc provide bonus factors for improving the test coverage for application testing.

Conclusion

The app testing solutions that promise high device coverage stands out in the market due to the optimum productivity promised by these tools. Hence we always require a solution that has a scope of improving the device coverage.

There are numerous ways to better your app test coverage through various techniques like improving the code coverage, scaling, parallel testing etc. Apart from these a cloud platform like pCloudy also contributes to a great extend in increasing the app test coverage. So do refer to this read to simplify your app test coverage improving endeavours.

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