AI-powered test Automation: Advantage and tools

In this digital era, Artificial Intelligence is the growing and most demanding technology. As we all know it revolutionizing in almost every industry. Mostly,  IT companies are using AI technologies, and nowadays the software development life cycle has become more complex and complicated. Most of the IT companies are facing so many challenges of delivering the projects with accuracy and efficiency, also creating a high-pressure environment for the project teams.

It becoming a headache for project teams to fulfill the client’s needs and requirements. Continuous testing is always a big headache for the project teams. 

Currently, the main focus of IT firms is to run more tests, find bugs, and deliver the project faster. It is also very clear that Artificial Intelligence is the key to streamlining software testing and making it more effective and smarter.

An AI-powered continuous testing platform can identify changed controls more effectively than a person, and even the smallest changes can be detected with constant updates to its algorithms.

When it comes to automation testing Artificial Intelligence is commonly used in the categorization of object implementations for all user interfaces. Here Recognized controls are classified when you build software, and testers are able to pre-train controls typically used in box setups. If the control hierarchy is observed, testers can create a technical map so that the AI looks at the Graphical User Interface ( GUI) to obtain labels for the various controls.

 Here, Some Advantage of AI in Software Testing:

 Improve Accuracy

A human can do so many mistakes while doing testing. Even the most diligent tester is expected to commit errors while doing monotonous manual testing. AI continuously completes important tasks exactly as planned, effectively performing the same repetitive tasks, and over time. While AI works on repetitive tasks, testing teams can do complicated tasks that can only be performed by humans and also focus on developing more efficient automated AI testing solutions.

 Going beyond the limits of manual testing

It is nearly impossible for software departments/Quality Analyst departments to execute a controlled web application test with 1000+ users. With automated testing, one can simulate tens, hundreds, or thousands of virtual user sets that can interact with a network, system, or web-based app.

 Improve Flexibility 

Even the simplest changes in an application can result in test failures in automation software since typical test scenarios consider a singular selector or path. Therefore, such testing approaches are somewhat rigid. AI allows a more flexible process of testing, learning relationships among different segments of documentations. Such systems can adapt automatically to any real-time changes, being both flexible and efficient.

 Increase in overall Test Coverage

With automated testing, one can increase the overall depth and scope of tests resulting in overall software quality improvements. Automated software testing will analyze memory and file contents, internal program states, and data tables to determine if the software is behaving as planned. With manual testing, all over test automation can make more than 1000 unique cases in each test, offering coverage beyond imagination.

 Help Both Tester and Developers

Tester and developers can use shared automated testing to quickly fix problems before moving on to Quality Assurance. If source code changes are checked in, software tests will run automatically and inform the developer team if not successful. Such features save valuable time for developers and improve their confidence levels.

 Performing Visual Testing

Patterns and image recognition helps AI to identify visual bugs by visual testing of applications and ensuring that all visual elements look and work correctly.  AI can identify complex UI controls irrespective of their size and shape and analyze them at a pixel level.

 Here, There are some AI-based test automation tools being used:

 Testim

Testim uses artificial intelligence and machine learning to speed up an automatic test design, execution, and maintenance. This app runs on various browsers and platforms such as Chrome, Firefox, Edge, IE, Safari, and Ios. It focuses on reducing the flaky tests and test maintenance, which for most companies they see as one of the most important challenges.

 Testcraft

TestCraft is an AI-powered test automation platform that works on top of Selenium for regression and continuous testing. It is also used to monitor web applications. The role of artificial intelligence ( AI ) technology is to reduce the time and cost of maintenance by automatically resolving changes in the app and the best thing about this app is that testers can visually create automated, Selenium-based tests using a drag and drop interface and run them simultaneously on different browsers and work environments and no coding skills required.

 Applitools

Applitools is used for visual User Interface testing, software monitoring, and visual management. It provides an end-to-end software testing framework powered by Visual AI and can be used by professionals engineers, test automation, QA manual, DevOps, and Digital Transformation teams. The AI and machine learning algorithms are both fully adaptive — it scans the screens of the apps and analyses them like the human eye and brain but with the power of a computer.

 Functionize

Functionize is an automated cloud-based testing platform that is used for functional, performance, and load testing — a one-stop-shop for all of the tests listed. This method also makes use of machine learning and artificial intelligence to accelerate test creation, diagnosis, and maintenance.

One of the best features of Functionize is that you don't have to think a lot before running a test- all you need to do is type what you want to test in plain English and NLP creates functional test cases. It also performs thousands of tests from both desktop and mobile browsers in minutes. If you're looking for a test automation tool, you certainly need to try Functionize.

 Sauce Labs

Sauce labs is another cloud-based test automation tool that leverages machine learning and AI.

It supports a comprehensive list of browsers and operating systems, mobile emulators and simulators, and mobile devices, as well as the speed at which its users need to test their applications. It also claims to be the largest continuous research platform in the world, providing more than 800 browser operating system combinations, 200 mobile emulators and simulators, and thousands of actual devices.

 Conclusion

AI helps developers and tester in many ways. No doubt AI totally transforms the IT industry and helps developers to make their tasks easier and efficient with proper accuracy and it saves time and money as well. AI also helps developers to deliver projects on time without any technicals errors. These are only a few examples are mention above but if you see in reality, there are so many help that developers get from AI. In the coming days, AI will be the biggest booming industry.

Also Read: How to become an AI Engineer?

 So these are some advantages of AI in software testing and some important tools but If you want to start your career in Artificial Intelligence and want to do a course then join “Nearlearn”. Nearlearn is the Foremost Artificial Intelligence Training Institute in Bangalore and also the best Machine learning training Institute. They provide highly skilled trainers having 10+ years of industry experience in these filed. They provide both online training and classroom training facilities. After completion, of course, they help you to get placement in various companies and also provide internship facilities to their students. 

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