Mobile Testing Course in Surat

Test scenarios are high-level test ideas that guide multiple test cases. For example, a scenario might be "verify login function," which includes cases for valid credentials, empty fields, and incorrect passwords.

Automation tools like Appium offer methods to take screenshots during test execution. Screenshots help in debugging, analyzing failures, and creating visual proof for reports.

Automation speeds up repetitive testing, ensures consistency, and supports continuous integration. It reduces human error, improves test coverage, and is especially useful for regression and performance tests.

Installation testing ensures the app installs correctly from the app store or via APK/IPA files. It checks disk space handling, version upgrades, installation failures, and uninstallation behavior.

Monkey testing involves random user inputs like clicks and gestures to check app stability. It’s used to discover unexpected crashes or issues without predefined test cases.

Frameworks like Appium with TestNG or JUnit provide structure to test scripts, manage test data, and generate reports. They help maintain and scale automation projects efficiently.

CI automates the process of building, testing, and integrating code changes. Tools like Jenkins or Bitrise run mobile test suites automatically upon code commits, helping to detect bugs early.

Mobile apps often use APIs to communicate with back-end services. API testing ensures data accuracy, response time, and secure data exchange using tools like Postman or RestAssured.

Permission testing ensures the app asks for and handles permissions properly, such as camera, location, or storage access. It checks both allowed and denied scenarios to validate behavior.

Hybrid apps combine web and native components and are usually built using frameworks like Ionic or React Native. Testing them involves validating both web views and native features across devices. Automation tools like Appium are suitable for hybrid app testing.

Sandboxing isolates app data and code execution from other apps and the OS. Testing involves verifying whether the app accesses only its own data and doesn’t leak information. It's a crucial security mechanism on both Android and iOS platforms.

Framework selection depends on platform compatibility, language support, community, integration with CI/CD, and team expertise. Appium is chosen for cross-platform needs, while Espresso and XCUITest are ideal for Android and iOS respectively due to their speed and native support.

Mobile test environments include emulators, simulators, real devices, network conditions, and OS versions. Testers use device farms or cloud testing platforms for broader coverage, ensuring the app behaves correctly under various configurations and environments.

Usability testing involves observing real users as they interact with the app to assess ease of use, navigation, and overall experience. Feedback is gathered to identify pain points and improve UI/UX. Tools like Lookback or Maze can be used for remote usability testing.

OS fragmentation leads to many devices running different versions of Android or iOS, making consistent testing a challenge. Testers must validate compatibility across these variations to ensure stability, especially when using newer or deprecated OS-specific features.

Exploratory testing involves simultaneous learning, test design, and execution. It helps uncover unexpected issues not found by scripted tests. This approach is essential in mobile testing due to the wide variety of devices, features, and user interactions.

Testers check whether the app installs correctly, launches on first try, retains user data during updates, and functions post-update. Scenarios include clean installs, version upgrades, downgrades, and error handling during interrupted installations.

Testers simulate low-storage scenarios by filling up the device memory and checking if the app handles this gracefully. The app should show relevant warnings or limit features as needed, without crashing or corrupting user data.