Top Cross Browser Testing Trends [2022]

Top Cross Browser Testing Trends for 2022

The cross browser testing industry is constantly evolving, driven by shifts in user behavior and the launch of new device types and browsers. At the beginning of 2022, we are here after a careful analysis of the market trend and the latest prioritized technologies. These technologies have begun to emerge as software testing trends, and they have the greatest potential to grow at a considerable rate by 2022. Let’s see the cross browser testing trends and why they are essential this year.

1. Cloud-Based Cross Browser Testing

Cloud testing makes use of a third-party service provider’s cloud computing capabilities to test software applications. This can apply to cloud resource testing, such as architecture or cloud-native software as a service offering, as well as the use of cloud technologies as part of a quality assurance plan. It benefits from low cost, high scalability, and easy availability. It allows web and mobile testing in a variety of scenarios and on numerous machines without having to construct your own infrastructure.

Needless to say, the rising popularity of cloud testing has given rise to a slew of cloud-based testing tools in the market. Cloud-based tools can access an array of browsers and devices so that we can execute tests across all required systems.

Organizations can benefit from cloud testing in a variety of ways. This can provide availability, optimal performance, and protection of data while minimizing downtime of the underlying infrastructure or platform for enterprises testing cloud resources.

Currently, there are hundreds of devices on the market, each with its own resolution and browser, making the setup of such a large testing infrastructure prohibitively expensive. As a result, most businesses and individuals are turning to cloud-based cross browser testing platforms.

As per Statista, the Cloud applications market size worldwide is expected to reach 168.6 billion U.S. dollars by 2025.

In 2022, we will see an increasing demand for the use of cloud frameworks. There are multiple products and platforms you can look over for cross browser testing. AI-native testing platforms like TestMu AI provides an online browser farm of 5000+ browsers and OS combinations to users already installed and ready to be used on their infrastructure.

Here are some of the features of cloud-based cross browser testing tools:

• Infrastructure and maintenance
  A cloud-based solution saves infrastructure setup and maintenance costs. The expense of setting up and maintaining infrastructure is reduced with a cloud-based solution.
• Cost-effectiveness
  Cloud-based solutions are an excellent way to avoid unnecessary expenditures. We only pay for the time and features we utilize on the cloud as it is scalable.
• Availability and collaboration
  Any device with a network connection can access the resources. Physical location has no bearing on QA testing operations. This, combined with built-in collaboration capabilities, can make real-time collaboration easier for testing teams.
• Scalability
  In today’s world, testing requirements are dynamic, and the test environment should reflect this. Consider the following scenario: there is a video-streaming service that is only available for laptops and computers. As a result, it has been cross-browser tested on these devices, operating systems, and browsers.

The website eventually becomes a market success. Consequently, the organization has decided to make it available on mobile and smart TV as well. As a result, the test environment may be scaled up by adding additional device, OS, and browser combinations.

Cloud-based tools make it simple to integrate new devices and platforms. Simply select your options and begin the testing. In cloud testing, when the environment required decreases, the devices can be unsubscribed from the plan.

It’s advantageous to utilize a cloud-based cross browser testing platform or application, such as TestMu AI, to meet the infrastructural needs in both scenarios — scaling up or scaling down. Since they assist in achieving it with only a few clicks and in a matter of seconds.

• Faster testing
  When thousands of devices are involved, cross-browser testing might take a long time. But when cross-browser testing is moved to the cloud, these thousands of devices become available 24 hours a day, seven days a week.

When cross-browser testing is automated, the test execution can be set up to run in parallel, 24/7. This allows you to complete the test coverage in a fraction of the time.

• Simplified disaster recovery
  Disaster Recovery efforts for data backup and recovery are less intensive than traditional methods.

2. AI-Powered Cross Browser Automation Testing

Cross-platform testing is the practice of testing across browsers, OS, and gadgets to confirm that the software works correctly. Cross browser testing involves web applications that may need to be compatible with multiple browsers, devices, and platforms. The prevalence and rising acceptance of AI and machine learning (ML) have given QA professionals, notably those in charge of cross-browser testing, new capabilities.

Automation testing is any method that allows you to execute your tests without the need for human interaction. Manual testing has been used in the past. A person goes through a series of steps to see if things are working as they are expected. An automated test, on the other hand, is created once and then run whenever you need it.

By increasing people’s skills and capacities to interpret real-time data, AI and ML help enterprises minimize testing gaps. Furthermore, if scalability and software quality are top requirements, AI/ML are beneficial technologies.

Transitioning to automation reduces testing time while also reducing the risk of errors. Furthermore, intelligent automation, such as AI/ML, can deliver significant business benefits such as revenue generation, execution speed, accuracy, compliance, and cost savings.

Also read: How To Move From Manual Testing To Automation?

Watch this webinar to learn about enterprise-wide actionable strategies, the dos and don’ts of automation testing and DevOps tooling that will help you improve the release and test velocity.

AI can assist in the creation of test scripts, the improvement of test analysis, and the removal of the requirement for routine maintenance. QA experts may eliminate human error and reduce the time and effort required to test a scenario by incorporating AI into cross platform testing. Developers have been automating unit testing for a long time. That is tests that determine whether a function is functioning appropriately. These enable automated testing of modules or entire applications.

These frameworks enable a test script to interact with your UI and simulate user actions. For example, they enable you to locate and click a particular button. Alternatively, find a text entry box and correctly fill it out. They also allow you to double-check that the test was accurately completed.

Automation testing aims to reduce the amount of time and effort required for recurring tasks such as regression testing. Even writing the test cases and scripts, however, necessitates manual work. How can we eliminate even a smidgeon of human effort, given that clients currently want faster delivery? Artificial intelligence’s most recent and potent concept comes with a solution.

There are some factors to consider when deciding whether a test can be automated. Here are the most important ones:

• Improved accuracy
  When manually testing software, even the most experienced testers might make mistakes. However, automated testing can save the day. AI can help testers create more effective test automation strategies and test scripts, and uncover new ways to provide the best possible user experience. By boosting accuracy and speed, technology can make testing easier.
• Faster test creation
  Artificial intelligence can help test recorders perform better. Intelligent test recorders are capable of producing superior test scripts in a much less amount of time. Software testing AI tools can aid in the recording of user sessions and the identification of missing tests in a path. Such tools can add a test to the test library if none is identified.
• Faster time to market
  Manually running tests is time-consuming and inconvenient, especially when a development team frequently changes the software source code. AI can conduct and redo automated tests faster and at a lower cost, allowing apps to be released sooner.

The most significant benefit provided by AI-powered technologies is the ease of maintenance. They are more capable of healing. These tools continuously scan the code for changes or patterns. When they discover a change in the application, the tool automatically updates the test script. Machine learning and artificial intelligence are used by tools like TestMu AI to authorize, execute, and maintain automated tests.

Looking at their acceptance, they are going to be highly popular automation testing trends in 2022. You won’t have to worry about maintaining or altering your scripts in the future, even if your application grows to thousands of test cases. You can delegate the task to AI.

3. Automated And Codeless Cross Browser Testing

Cross browser testing has the key benefit of giving a tester more test coverage, which can assist avoid cross browser compatibility concerns. However, the drawback of cross browser testing is that it necessitates the creation of distinct scripts for each browser and the testing of each combination independently.

This test procedure is time-consuming since it involves ensuring that an application works across multiple access points and a variety of device and browser types. This can be expensive and difficult to do, and here is where automated and codeless cross browser testing tools come into play. It is possible to make cross-browser and cross-device testing more efficient, and one method is to use a no-code tool to automate the process.

By reducing the amount of time spent on coding in manual testing, codeless automation frees time for both testers and developers to focus on product development and innovation to help accelerate testing in the SDLC.

Selenium is the most widely used technology for automated web application testing. Its popularity will continue to grow because:

• It is open-source and free to use.
• Multiple browsers and OS systems are supported.
• Multiple languages are supported, including C#, Python, Java, Perl, PHP, and Ruby.
• The IDE includes tools for debugging, recording, and editing test cases.

However, in 2022, Selenium will undergo a transformation due to the growing use of AI and machine learning. Machine learning and artificial intelligence (AI) both attempt to provide alternatives to monotonous and error-prone tasks. These automation tools are powered by Selenium and AI and provide codeless automation testing support.

With the latest automation testing trends, testers can now automatically generate a self-healing Selenium code. As I previously stated, AI-powered tools can simply detect and modify a modification in the application’s script. With these tools, testers will no longer have to worry about test case maintenance.

TestMu AI is the world’s most powerful automated testing tool. It gives you a cloud Selenium Grid to conduct your automated cross browser testing on more than 5000 browsers, operating systems, and their combinations.

Note: Want to make your life of testing easy and fuss-free while debugging? Try LT Debug Chrome extension!

4. Cross Browser Testing on Real Devices

Cross browser testing can now be done on real devices, completely eliminating the need for an internal device library, efficiently testing for more than two devices simultaneously, and reducing operational costs by accessing a cloud of devices always available for testing.

Additionally, responsive testing of websites and performance vitals like load testing on real environments can also be done using cross browser testing tools on real devices.

If you want to work smart and save time & money, you can use the TestMu AI cross browser testing platform. Cross browser testing platforms (or tools) like TestMu AI offer an online device farm consisting of 3000+ real devices running on real operating systems to perform automation testing and real-time cross browser testing of your product effortlessly.

Here’s a short glimpse of the TestMu AI real device cloud offering real device testing:

You can also Subscribe to the TestMu AI YouTube Channel and stay updated with the latest tutorials around automated browser testing, Selenium testing, CI/CD, and more.

There are a few factors to consider while working on these tools for real devices. Here are the most important ones:

• For 100 % accuracy, test on thousands of genuine devices.
• Ease of integration with testing frameworks like Selenium, Cypress, Playwright, Puppeteer, Appium, etc.
• Get a flexible distributed system to securely scale your remote automated cross browser testing efforts.

With the growing number of web and mobile devices of different resolutions and OS behavior, seeing the latest trends in automation testing, tools like TestMu AI will be more prevalent in 2022.

Playwright is an open-source, cross-browser automation framework that provides e2e testing without the need for any third-party tools. Learn what it is, how to install it, and how we can execute tests using Playwright.