Application testing is one of the most crucial processes in the app development lifecycle as it helps the developers to ensure that they’re providing the intended end-user experience to their customers. The testing process also helps the developers to ensure that the application is devoid of any critical bugs and errors that can cripple its performance.
Developers can integrate both of these practices to further elevate their app development environment. These integrations also help the app developers to improve the quality of the final application.
In simple terms, it is the process of eliminating human involvement in the application testing process. For the replacement process, the system will use a test file that will allow it to interact with the application like a normal user. Based on these interactions, the system can generate a report about the user-friendliness of the app. It also helps the developers to understand whether the application is ready to be released to the open market.
The app developers can also make significant changes in the test file to make the results suitable and customized according to the requirements. It is also possible to store and reuse automated test files in future app development projects.
However, before transitioning to automated testing practices, the developer should also be aware of the massive drawbacks that come with automated testing. This is because, during the initial stages of this application process, the developers have to invest a significant amount of money in the setup.
This setup process will consist of the expenses of integrating various plugins, tools, and libraries that are critical for the proper execution of automation testing. So we recommend that app development companies have a proper idea about their business perspectives and possible returns on investment before making the transition.
As we already mentioned earlier, various platforms and tools can highly contribute to the simplicity of automation testing practices. Moreover, these tools are very easily available in the market and do not require complex sourcing processes. For instance, cloud platforms help developers to get rid of having an on-site physical device testing lab. On-site physical device testing labs are crucial to verify the influence of physical device parameters on the performance of an application. This is because simulation softwares cannot verify how the application behaves to user interaction errors, low battery, a broken display, or any other such parameters. However, it is a very expensive process to have such a device test bench. On the other hand, cloud platforms help developers to achieve similar test results while executing all the test cases over the Internet.
With the help of cloud platforms, the developers can also initiate and execute test cases from anywhere in the world and remove all forms of geolocation barriers. We can further elevate our knowledge of cloud platform-based app testing by considering LambdaTest as a benchmark:
For the core understanding, we can say that LambdaTest is a modern secure platform to execute cross-browser test cases on complex web apps. Cross-browser testing is the new standard of verifying the highest level of application performance in the modern generation. This is because, with cross-browser test cases, the developers can ensure the app’s stability irrespective of the end user’s change in browser version, operating system, or the complete device specification. This platform also uses parallel test execution to improve the efficiency of the test cases by almost fifteen times. LambdaTest can help developers to work with automation test files from multiple frameworks like Selenium, Playwright, and Cypress. While working with Selenium test cases, it is possible to execute it on more than 3000 unique browsers.
This platform also helps the app developer to verify the performance of locally hosted web apps for the internal operations of a company. Lastly, the integration of multiple real devices with the already present thousands of emulation software helps developers to improve the accuracy of the test results.