Mobile App Testing
Without AI & With AI Integration
Without AI
01
Test Planning
Objective: Create a mobile testing strategy that ensures the mobile application performs well across various devices, screen sizes, and operating systems.
Steps: Analyze functional requirements to determine testing scope for both Android and iOS platforms.
Decide on the devices, operating systems, and browsers to be tested.
Define the critical features (e.g., login, search, navigation) and prioritize testing accordingly.
02
Test Case Development
Objective: Develop test cases for mobile app functionalities.
Steps: Design test cases to cover different mobile app features, such as UI/UX, performance, battery usage, data consumption, and hardware compatibility.
Ensure tests cover a variety of network conditions (Wi-Fi, 3G, 4G, offline modes).
Write test cases for installation, app updates, push notifications, and interaction with native mobile features (camera, GPS, etc.).
03
Test Execution
Objective: Run tests on real devices or emulators to verify the functionality of mobile apps.
Steps: Execute test cases manually or using automation tools (e.g., Appium, Calabash).
Test UI elements, including buttons, forms, text inputs, and interactions with device features.
Ensure apps work across different mobile OS versions (e.g., iOS 13, Android 10, 11).
04
Bug Tracking & Reporting
Objective: Identify issues and track them until resolution.
Steps: Log defects in bug tracking tools (e.g., Jira, Trello).
Classify issues as critical, major, or minor based on the impact on user experience.
Provide detailed logs, screenshots, and steps to reproduce to assist developers in fixing the issue.
05
Regression Testing
Objective: Ensure that new releases or updates don’t introduce new bugs into existing features.
Steps: Run the test cases again after any changes to the app to check for unintended side effects.
Test the full app functionality to ensure core features continue to work smoothly.
06
Sign-Off
Objective: Ensure the app is stable and ready for launch.
Steps: Ensure that all critical bugs have been fixed and all features work as expected.
Provide a sign-off document after validating the mobile app against all requirements.
With AI
01
AI-Powered Test Strategy
Objective: Leverage AI to predict mobile app test coverage and performance bottlenecks based on user behavior and usage data.
Steps: Use AI to analyze previous test data and identify high-risk areas (e.g., most used features, frequent crash points).
Automatically suggest which areas of the mobile app should be prioritized for testing.
02
AI-Assisted Test Case Creation
Objective: Use AI to generate test cases based on app behaviors, device capabilities, and user patterns.
Steps: AI tools analyze app interactions, screen flow, and device compatibility to generate relevant test cases.
Generate additional test cases for edge cases and scenarios not previously considered by manual testers.
03
Automated Execution with AI
Objective: Automatically execute mobile tests with AI-driven test automation tools that dynamically adapt to UI changes and device capabilities.
Steps:
AI-powered tools automatically run tests on real devices or emulators, adjusting for OS version changes, screen resolutions, and device-specific issues.
AI optimizes test execution flow, focusing on high-risk areas that show higher failure rates or high usage frequency.
04
Intelligent Defect Detection & Reporting
Objective: AI automatically identifies defects, categorizes them by severity, and provides real-time alerts to developers.
Steps:
AI detects failures across devices and platforms, highlighting areas of high concern.
Suggest possible fixes based on past issues and machine learning models that recognize patterns in defects.
05
Predictive Regression Testing
Objective: AI predicts which features are most likely impacted by recent changes and automatically runs relevant tests.
Steps:
AI tracks app updates and predicts potential failures based on user interaction patterns, OS changes, and historical data.
Automatically re-run high-priority tests in response to changes in app functionality.
06
AI-Powered Insights and Reporting
Objective: AI generates actionable insights on test results, helping optimize the mobile app.
Steps:
Provide AI-generated reports that categorize issues by their impact on the user experience.
Offer predictive insights about areas needing optimization, like UI responsiveness, app load times, or resource usage.