Test Framework Agnostic: Support of any of your Native and Open Test Framework. Integrate any of your Native and Open Test Automation Framework easily to start executing your tests on multiple devices in parallel. Large Scale Runs Designed for large test suites which can run for many hours. Run on device in parallel and speed up your app testing multi-folds.
Distribution of Tests: Scale up your test orchestration with pCloudy. Scheduling, queuing, distributing, and running orchestrated test cases help you manage and optimize your automation executions with ease. CI Pipeline : – Use CI pipeline to run automated tests such as Unit , API, UI at various stages
No Flakiness we ensure that devices are cleaned up and ready to go so that your tests can run for a long duration without any failures Lagfree execution Creating a script quickly is not enough if the scripts are not stable. Identification, isolation, and fixing such tests quickly to ensure the stability in automation execution is important. Get lag free automation execution with some smart techniques like having an alternative to Xpath, leveraging technologies like AI for object recognition, or through smart sync for asynchronous app behaviour.
Just upload your app and wait for the bot to deliver a comprehensive test report for the app. Running Crash Test Scenarios The bot runs the crash test covering several installations/uninstall scenarios along with random events on the App, that too, on multiple devices. It is the best way to do a sanity check for every change in your App. Swift and Deep Exploratory Tests Certifaya smart testing bot crawls the app automatically and navigates through the app path like any human would do, collecting all the relevant data for the app. The user will get a comprehensive report on the app’s functionality and performance on multiple devices.Read more
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Automating your app tests increases the efficiency of your tests. You can automate some of the redundant testing tasks that may not require manual intervention. Automating mobile and web app tests require you to create a test scripts based on the test cases and tools of your choice. There are various automation tools and frameworks that one can use to execute their automation scripts. Having a clear understanding what needs to be automated and what tools to use for the same will help ease the automation efforts.
The major difference between Manual Testing and Automation is that in Manual Testing a QA team member manually goes ahead to perform from tests on the app to ensure functionality, feature-issues or any bugs. Whereas with Automation, Automation experts create test scripts that will help automate some redundant tasks to ensure a wider test coverage and execution of more test cases efficiently. While both Manual and Automation testing play their unique roles in app testing, they are equally crucial and important at every stage of the app development life cycle.
Automation testing of apps is required when you want to run the same test cases across multiple devices or machines at the same time. Testing the same functionality or features across various device and machine manually is a redundant time consuming process and hence parallel testing through automation is recommended. Automation testing is also a good way to avoid any human error in your testing. With automation, you can be sure that all tests and flow are exactly the same, but with humans this may vary from case to case leading to minor errors and inconsistencies. At these time, automation is your best saviour to avoid these minor deviations.
With tons of Automation Frameworks to choose from, it becomes practically difficult to narrow down on a particular choice of automation tool as it is not about the features and usage but more of a preference and ease of use that triumphs any decision. While personal preference could be a major factor, here are a few pointers that you can look into when choosing the automation framework for your app testing. 1. What are your Testing Requirements? 2. Consider the cost and budget that is allocated for the Automation tool 3. Evaluate the tool based on the skill available in the organization 4. Ease of usage/ adoption 5. Keep a close eye on the integrations that are supported
Yes, you can check the status of your tests during their automation execution. Pcloudy comes with an exclusive dynamic reporting feature called Progressive Reports. You can access the progressive reports in the Reports sections in the platform. These reports will provide information on various aspects such as status of the test, duration of test, various test artefacts, etc.