How can you automate mobile app testing as your organization grows?

Automating mobile app testing is crucial for organizations as they grow, as it offers several benefits. Automated testing allows for quick identification of errors, defects, and vulnerabilities, ensuring a superior app experience across iOS and Android devices. It also increases overall testing time, speeds up delivery, runs tests 24/7 for higher test coverage, provides reusability of automated tests, improves accuracy and reliability, and enables quick bug fixes. Additionally, it facilitates the measurement and tracking of test results, ensuring consistency and quality across development and testing teams.

Automating testing is very useful in maintaining your codebase and features that are put behind the flag as well. According to me the best way to test mobile app is : 1. Unit testing 2. Integration testing. 3. Screenshot tests to test the UI. As your teat cases grow you will be able to roll out your releases very confidently and also you will be able to enable or disable your features on the fly.

Because it save a lot of time and also is more accurate. it generates automatically . it means you app is always on testing mode

As your organization grows, automate mobile app testing to enhance efficiency. Implement robust test automation frameworks that support a wide range of devices and platforms. Utilize continuous integration tools to automate test execution in various environments, ensuring rapid and reliable feedback. Leverage cloud-based testing services to scale testing efforts across diverse devices and configurations. Regularly update test scripts and scenarios to accommodate changes in the application and maintain a proactive approach to quality assurance as the organization expands.

One of the reason I prefer automate testing is EFFICIENCY because this allow for rapid execution of test cases across various devices and OS and significantly reduce the time as compare to manual testing

In my experience, below points would be helpful: 1. Identify app type (native, hybrid, or web) to match the framework's compatibility. 2. Consider the programming language used in your app for language compatibility. 3. Define the automation level needed (unit, integration, or end-to-end) for framework alignment. 4. Evaluate features such as cross-browser testing, parallel execution, and reporting capabilities. 5. Check community support and documentation for reliable assistance and updates. 6. Ensure seamless integration with CI/CD pipelines for efficient testing workflows. 7. Assess scalability to handle current and future testing needs. 8. Verify device and platform support (iOS, Android) for compatibility.

Choosing the right automation framework for mobile app testing involves considering factors like your app type (native, hybrid, or web), programming language, desired level of test automation (unit, integration, or end-to-end), and framework features and support. Popular options include Appium, Espresso, XCUITest, and Detox.

First ask yourself how you want to test: - System (e.g. settings, other apps, notifications, etc ...) - Whole app (instrumenting the "release" version, but usually with a different backend) - Whole app, but without network calls (having a mocked repository) - A single feature, but with mocked network calls (e.g. the user settings) - Just the "business logic" without any UI The examples go from "blackbox" testing where you don't need to know about the implementation of the app to whitebox to unit testing where you have more and more knowledge about the implementation. Blackbox can be done by QA, Greybox QA Engineers, and Unit usually only by the developers themselves. So the question is who writes the tests :)

start with understanding the requirements the prioritize the test cases and start with critical one. Use a consistent Format for Test Cases. One test case at a time.

In my experience: - Clearly define essential app functionalities for test coverage. - Specify expected outcomes and behaviors for each test case. - Identify potential risks and errors to be covered in test scenarios. - Design test cases following standard practices. - Include all necessary steps, preconditions, and expected outcomes for execution readiness. - Prioritize and categorize test cases based on importance and frequency of use. - Establish traceability between requirements and test cases for comprehensive coverage. - Include negative test scenarios to uncover potential vulnerabilities. - Test with different input data sets to ensure correct app behavior. - Perform regression testing to check any adverse effects due to new changes.

Here are the general ideas of an effective testing: - Begin by thoroughly understanding the requirements and specifications of the app (including functional and non-functional reqs) - Identify key user interactions, workflows, and critical paths that need to be validated. - Focus on testing high-priority and high-impact areas first. - Include test cases that cover edge and boundary conditions. - Design test cases to validate both positive scenarios and negative scenarios - Test with different sets of valid and invalid data to ensure the app handles various data types and formats correctly. - Make sure your app integrates seamlessly with any external services, or APIs.

Automating mobile app testing requires designing clear, concise, and comprehensive test cases. Identify key functionalities, expected outcomes, and potential risks. Write easily understandable, maintainable, and executable test cases following common standards. Prioritize and categorize test cases based on importance and frequency for efficient testing.

My team uses Bitrise for CI/CD. Here are my take aways for using CI/CD in testing. On the bright side, it offers faster feedback loop, consistent deployment, bugs and integration issues are detected early in the development cycle, consistent and repeatable deployment processes. In addition, by automating testing and deployment processes, teams can work together more efficiently, leading to faster and more reliable releases. However, Implementing CI/CD pipelines can be complex and time-consuming initially. Moreover, maintaining and scaling CI/CD infrastructure can incur additional costs. Cloud services, build servers, and other resources may contribute to ongoing expenses, particularly for large and resource-intensive projects.

Via CI/CD, make sure that every commit runs the PR unit tests and every PR merge triggers the regression test suite. This should be done for every PR via running a script on Jenkins for PR flow.

In my opinion, follow below steps: - Set up CI/CD pipelines to automate building, testing, and deploying your app. - Utilize tools like Jenkins, Travis CI, or GitHub Actions to establish and manage CI/CD pipelines. - Organize pipelines into stages representing development-to-deployment steps. - Test your app on various environments to catch issues specific to different configurations. - Implement continuous monitoring to identify and address issues promptly during the CI/CD process. - Manage and store build artifacts for reproducibility and version tracking. - Set up notifications and reporting to keep the team informed about CI/CD pipeline status. - Facilitate incremental changes by automating the deployment of small, frequent updates.

Continuous Integration and Delivery (CI/CD) practices automate app building, testing, and deployment for a consistently stable state. Utilizing CI/CD ensures rapid and smooth verification and delivery of app changes or updates. Tools such as Jenkins, Travis CI, or GitHub Actions facilitate the setup of CI/CD pipelines, running automated tests across various stages and environments. This approach enhances efficiency and reliability in app development processes.

It's crucial to monitor and effectively report the test results. In my own projects, I've used Jenkins to automate the testing pipeline, especially for unit testing. Tools like Firebase Test Lab have been invaluable for functional testing. However, the real game-changer was aggregating these results. I've set up a system where reports from these platforms are uploaded to a centralized portal, often using Amazon S3. This allows easy access and analysis of key metrics like pass/fail rates, test durations, coverage, and defects.

In my view, to monitor and report test results effectively in mobile app testing: - Gather essential test data, including pass/fail rates, test duration, test coverage, and identified defects. - Analyze collected test data to gain insights into the overall performance and quality of your app. - Utilize test reporting tools like TestNG, Allure, or Report Portal to generate clear and visually appealing reports. - Present test results in a visual format to enhance understanding and facilitate quick decision-making. - Effectively communicate and share test results with your team and stakeholders to ensure transparency and collaboration. - Use test results as feedback to continuously improve app quality and address identified issues.

Effectively monitoring and reporting mobile app test results is crucial. Collect and analyze data like pass/fail rates, test duration, coverage, and defects found. Utilize tools like TestNG, Allure, or ReportPortal to generate clear and visual test reports. Communicate results with your team and stakeholders, leveraging them to enhance app quality and drive improvements.

Continuously review and optimize your test automation strategy as your organization expands. Evaluate the performance and effectiveness of automated tests, addressing any gaps or issues. Regularly update and refactor test cases, frameworks, and tools, removing redundant or obsolete tests. Embrace new technologies and techniques to enhance test automation capabilities and meet evolving app requirements and expectations.

As your app scales and user expectations shift, so too must your approach to automated testing. My experience has taught me the criticality of regularly evaluating the performance and effectiveness of our automated tests. it's about scrutinizing them for gaps or inefficiencies and ensuring they align with our current needs.

To optimize your test automation strategy: 1. Continuously review and reassess your test automation strategy. 2. Identify and address gaps or issues in existing test automation processes. 3. Remove redundant or obsolete tests that no longer contribute meaningful insights. 4. Stay current with industry trends; adopt new technologies for enhanced capabilities. 5. Foster collaboration between testing and development teams for aligned efforts. 6. Integrate test automation seamlessly into CI/CD pipelines for faster delivery. 7. Regularly monitor and analyze test results for patterns, trends, and improvements. 8. Establish feedback loops to gather insights and refine the test automation strategy. 9. Develop a strategic test plan with goals

The Testing Pyramid is a valuable model for optimizing your test suite. At its base are unit tests, with integration tests in the middle, and end-to-end tests at the apex. Unit tests, being the least costly to maintain, should encompass a substantial portion of your system's functionality. Integration tests require more maintenance effort, and end-to-end tests are the most demanding in terms of upkeep. This method helps maintain a lean and cost-effective automation suite.