What are the best mobile testing tools for automating regression testing?

Hands down - Appium is best automation tool for both Android & IOS platforms. You can maintain a common Appium framework for both platforms testing with strategized Java design patterns. Integrating Appium with cloud platforms like Browserstack, saucelabs avoids maintaining devices infrastructure as well and enabled powerful Parallel testing.

There are several popular automation testing tools for mobile regression testing. Some of the best ones include: 1- UI Automator**: This is Google's testing framework for Android apps. It's particularly useful for testing Android-specific functionalities. 2-Calabash**: It's an open-source framework that supports both Android and iOS. It uses Cucumber for writing test scripts, making it easier to understand for non-technical stakeholders. The best tool for you depends on factors like your team's expertise, the complexity of your mobile app, integration with your development environment, and specific testing requirements.

Appium and Robot Framework is really good duo. Robot Framework is easy to write and Appium can be use for testing both iOS and Android. If you want to make it more like real-world usage you can combine with device farm like UFT Digital Lab. These tools easy to use in CI/CD pipelines. Plus you can write script to parse report file and use it as you like.

There are multiple tools available today for Android automation. But Appium is a good option as we can maintain Android and IOS frameworks together. It can be easily integrated with cloud platforms like Sauslabs.

The "Best" is a relative term and BEST changes on various factors such as team expertise, scripting expertise, complexities required and so on. Combination of Appium, UIAutomator etc are popular tools. At #Samichinam Solutions, we have developed our own platform which helps you test any application regardless of platforms. We are launching this testing tool in the market very soon and we believe it will prove the best low code platform for automation testers of desktop, web and mobile applications.

Headspin, Perfecto and Saucelabs dominating virtual test execution when physical devices turn out to be an expensive option. But physical mobile tests do take its importance when apps needing voice over and talk back checks for accessibility. Cloud tools do have limitations in accessibility, security tests.

There are multiple cloud based solutions like HeadSpin, SauceLabs, AWS Device farms, Perfecto, HP Mobile center. I have used most of these. For me, HeadSpin is best among them as it has very less turn around time to get latest released Appium version. Also, it gives AI based regression reports and suggestions to improve app performance

Enhanced Testing with Cloud-Based Platforms In a recent large-scale project, we further enhanced our testing capabilities by leveraging cloud-based platforms for automating mobile app regression tests. This approach proved to be particularly effective during the development of our global social networking app, which needed to function seamlessly across numerous devices and operating systems used by millions of users worldwide.

As a cloud based platform invest heavily on security, it could be a bit more expensive but depending on the specific needs and usage it can be cost effective. Accessibility and scalability comes upfront when I think about a cloud based platform. Data privacy concerns and lesser controllability are some drawbacks as it has to run on several resources of various capabilities. A popular example is LambdaTest which is AI powered and compatible with several browser OS combinations. Headspin, Perfecto, SauceLabs are other examples.

Remember how we test the app on our phones? Cloud testing tools are like having a giant phone store in the internet! They let you test your app on tons of real phones at once, different models and versions just like your users have. This way you can be super sure your app works perfectly everywhere. Plus, they can run tests super fast and even record videos if something goes wrong, making it easier to fix any bugs. Pretty cool, huh? They help you catch problems faster and keep your app working great for everyone. Here are some examples of cloud-based platforms for mobile testing: Sauce Labs BrowserStack AWS Device Farm Kobiton Perfecto Firebase Test Lab Bitbar Experitest

CI/CD for mobile apps can be very challenging. We should decide the frequency depending on our project. Most of the times we trigger on each merge request but if test suite is large then we should think of considering sub set of that suite so that build process is faster. We can then run nightly run of complete test automation suite. This way it will help us to shift left approach wherein we get feedback early in development life cycle which can help us fix it then and there itself if anything is regressed due to new changes.

Imagine having a robot sidekick that squashes bugs every time you change your code! There are a couple of cool tools for that. Appium, kind of like a phone-wielding superhero, lets you write tests for both iPhones and Androids. It even works with those "continuous integration" things, so whenever you add a new feature, your tests automatically run and hunt down any sneaky bugs. Another option is Katalon Studio, like a test-writing factory. It also integrates with those continuous integration systems, so you can build a whole army of tests that attack your app with every update, making sure it stays awesome. Remember, the best tool depends on your team's style, so play around and find your perfect bug-crushing companion!

Automated regression testing in the CI pipeline reduces testing time, ensures software quality, and prevents new code from breaking existing functionality by running tests on each integration for early issue detection and correction. CI tools like Jenkins, GitLab CI/CD, and GitHub Actions can run automated regression test suites as part of the build process. They integrate with frameworks like Selenium and Appium for cross-platform testing, providing detailed reports and analytics. Key benefits include early regression detection, increased test coverage and efficiency, faster feedback loops, seamless workflow integration, continuous testing, quality assurance, faster release cycles, and improved software quality.

Within the continuous integration (CI) flow, it is important to have a collaborative environment where both the development team (Dev) and the testing team (QA) can work together. This allows for greater efficiency in early problem detection and quick resolution of any defects or errors. On the testing side we can use some tools such as sellenium, git and Jenkins for automated test executions to later have an environment within the complete CI pipeline.

Na empresa em que trabalho utilizamos o team city para realizar essas integra??es continuas, funciona muito bem rodando todos os testes automatizados a cada deploy que subimos!

We can use Jmeter for performance testing as well, you just need to prepare a real device or install an emulator , after configuring your network settings make sure your device and your system have the same network. Then you need to add recording and test script controller in your jmeter file.

In my vision, When we have performance testing and monitoring (after launch) is essential for the business survive. When you build you application from beginning considering performance and just creating performance check and small performance tests, and when your app is ready and you test the performance with performance tests, you will have lot of gains of performance. Performance test is much important as regression and functional tests.

Performance monitoring is crucial in automated regression testing to identify performance regressions that impact user experience. Key points: Performance tools track metrics like response times, resource utilization, and latencies. Including performance checks detects if new code degrades application performance. Enables early detection of issues before impacting production environments. Approaches include load testing, stress testing, and continuous performance testing in CI/CD pipelines. Incorporating performance monitoring ensures applications maintain optimal performance levels alongside functional correctness, providing a seamless user experience.

While functional correctness is vital, performance regression can also significantly impact user satisfaction. Tools that focus on monitoring the performance of your application can reveal whether new changes have degraded response times or increased resource consumption. By including performance checks in your automated regression tests, you can preemptively address these issues before they affect your end-users. Additionally, this proactive approach to performance testing supports long-term scalability and reliability of your application. It allows development teams to optimize code continuously and ensure that the application can handle increasing loads and complexity over time.

For Performance monitoring my top pick goes to Grafana K6. It is a very simple yet extensive solution to automate parallel load and performance testing on our application. I have primarily used it to do API testing as we needed to put on some load on the application servers to see how they behave. It gives a hands on approach with granular modifications to the stress level or stress type we want to incur on the application under test.

For those repeat tests on our phone apps after updates, to make sure nothing breaks, there are these awesome tools that ditch the coding. Imagine showing your phone what to do by tapping and swiping through the app, like teaching a friend. These tools record those actions and can run them again and again! Pretty cool, right? This way, anyone on the team can build these tests, saving us time and making testing a team effort. It's like having a little robot buddy who remembers how the app should work and checks it after every update, just like we would! Here are examples of scriptless automation tools: 1. Katalon Studio 2. TestCraft 3. Leapwork 4. Ranorex Studio 5. Perfecto Scriptless 6. ACCELQ 7. Tricentis Tosca 8. UiPath Test Suite

There are code-less tools as well available in marker today like TOSCA which are making automation task simpler. This helps where we want quick coverage without having to up-skill manual testers in different coding languages.

Tricentis provides Tosca as a brilliant Script less testing tool. We can manage the test repository as well in Tosca at the same time. I would strongly recommend this. We also have some internal ERP tools which are even free to use. Eg, we can use CBTA for automating SAP testing and it can easily be configured to Solution Manager.

Based on my experience, scriptless automation tools are meant to make test automation easier and less time-consuming by cutting down on complex scripting. With these tools, you can create automated regression tests through user-friendly interfaces and visual workflows without needing to write code. Some mobile testing tools even let you create automated tests by recording user interactions on the app, instead of writing code. This can be helpful for testers with less programming experience, but it might have limitations in terms of flexibility and reusability compared to scripted approaches.

Bom já usei o Katalon para criar cenários de testes de automa??o sem script e achei bem intuitivo e simples de manusear; Outro bem utilizado é o Selenium no entanto mas efetivo por meio de script's e outro totalmente voltado para script's e o qual utilizo atualmente é o Cypress

1. Utilize analytics tools: Integrate analytics to gain insights into the effectiveness of your regression tests. ?? 2. Analyze test results: Identify patterns and recurring issues by examining test data over time. ?? 3. Enhance testing strategy: Use insights to focus testing efforts, improving the quality and stability of your mobile app. ??

Mobile testing tools with analytics integration offer advanced capabilities for automating regression testing. By integrating analytics into the testing process, these tools provide valuable insights into test results, performance metrics, & user behavior. This integration allows testers to identify potential issues more effectively, prioritize testing efforts, & make data-driven decisions to improve the quality of mobile applications. Additionally, analytics integration enables continuous monitoring of test executions, ensuring thorough coverage and timely detection of regressions. With comprehensive analytics features, testers can optimize their regression testing strategies and enhance the overall quality and reliability of mobile apps.

Re-testing your app after updates can be a drag. Tools like Appium (free!) help automate those tests on iPhones and Androids, no matter your coding skills. Think of it like a robot running drills for your app. Some tools, like Katalon Studio, even track your progress over time. This helps you see which parts of the app need the most work, just like a coach watching your workouts. By focusing on these areas, you can make your app stronger with each update, just like getting fitter with each practice!

Having an analytics integration in mobile regressing testing has the potential to completely automate regression test. 1) Time savings: Least manual intervention in identifying anomalies occuring due to the continuse updation of application. 2) More automation in identifying the affected code snippets. 3) Improved understanding to identify and predict the potential future defects that can happen upon a specific future update. Some potential tools available are: New Relic - Has an observability platform and can be integrated with over 500 applications including AWS, Azure and google cloud. Tricentis Testim, Kobiton, BrowserStack, TestGrid are some other examples.

Integrating mobile app analytics with your automated regression tests can provide valuable insights. You can track user behavior within the app and identify areas where regressions might have broken expected user flows. This can help you prioritize bug fixes and ensure a smooth user experience.

1. Appium Platform: iOS and Android 2. Espresso Platform: Description: Developed by Google, Espresso is a mobile testing framework specifically for Android applications. It offers fast and reliable testing with a simple API. 3. XCUITest Platform:iOS Description:A testing framework developed by Apple for iOS applications. It provides robust and efficient tools for UI testing, integrated into Xcode.

Several mobile testing tools are excellent for automating regression testing: 1. Appium 2. XCUITest and Espresso 3. Calabash 4. Robot Framework 5. UI Automator 6. Detox 7. Selendroid

We should also consider non-functional aspects for mobile apps automation like capturing network logs and generating a har file which helps us in debugging if there was any failure due to API. We can also test performance of mobile apps using Instruments(Profiler) for iOS, adb dumpsys(getPerformanceData) for android and generate a trace file which can help devs analyse performance of apps.

In my vision we need to consider too: self update not only with hard skills, but with soft skills too. Learning testing techniques is much important as know learning and do good relationships and have good communication. The human being has many qualities point to improve and we need to pay attention to all.

Many years ago, I was working at a company making games for mobile phones. We didn't have access to a full range of phones, so I was told to download the User Agent Switcher and several plugins for Firefox, along with User Agents to emulate different mobile devices. I was thus able to test the games across a broad range of devices without having access to said devices.