Key Benefits of Integrating AI in Test Automation

We all are aware of the fact that testing is a crucial part of the software development life cycle. It not only guarantees customer satisfaction but also helps in safeguarding against potential failures that could be harmful for the application. It requires proper planning in which application is assessed thoroughly under certain conditions. Whereby it helps the developer understand the implementation risks and overall threshold involved.

Nowadays, with the increasing complications in SDLCs and reduced delivery time, testers have to work even faster in giving feedback to the developers. Hence, the key to streamlining the testing process is Artificial Intelligence.

By adopting techniques of AI, the testing team can make their work easy with lesser time for process execution. They can move beyond the traditional route of manual testing by adopting automated and precision-based continuous testing processes.

Well, the testing processes powered by AI can identify the modifications more quickly and efficiently than a human being.

If we talk about automation testing, AI is widely used in the object application categorisation. When you create tools, the recognized controls are categorised and testers can easily pre-train the controls.

Further, AI can observe users performing exploratory testing within the test site. It uses the human brain in assessing the applications that are being tested. Eventually, this will put business users into testing and customers will be able to automate the test cases completely.

Recently, there are so many headlines hitting the market about how AI is transforming the software testing industry.

AI has been affecting almost all the facets of test automation. It has streamlined the creation, execution, and maintenance and provided businesses with actionable insights in real-time that directly affect the bottom line. Well, some of the testers have dug a bit deeper enhancing the test automation best practices to deliver their most.

Let us explore the key benefits of integrating artificial intelligence in Test Automation.

1. Accuracy

Even the most proficient tester is bound to commit mistakes while carrying out monotonous manual testing. At this point, automated testing comes into play. The same steps for the testing are performed several times with the same accuracy every time they are executed. Also, the details are recorded at the time of the result. Hence, the testers are freed from repetitive manual tests and have got more time in creating new automated software tests and dealing with sophisticated features.

1. Beyond limitations of manual testing

Most of the time it is difficult for the testers to perform web application tests with 1000+ users. But, one can easily simulate 1000+ virtual sets of users that can interact with a network, software, or web-based applications using automated testing.

1. Aid to both developers and testers

The integration of AI in testing automation helps in saving the developers’ time and enhancing their confidence.

By sharing the automated tests with the developers, issues can be analyzed quickly and can be resolved before going to the tester. These tests run automatically whenever they detect modifications in the source code. They send notifications to the developers or the team if the source code fails the test.

1. Enhanced test coverage

AI integration in test automation has enhanced the overall depth and scope of the tests. Automated testing tools can look into memory and file contents, internal program stats, and data tables to ensure that the software is behaving as expected. It can even perform more than a thousand test cases in a single test run.

1. Faster market time

Manual testing of software requires a considerable amount of time as these tests are repeated whenever there is a slight change in the source code. As a result, they even add up to the overall cost of the software. Whereas the automated tests can be executed any number of times at a faster pace with no additional costs. The total timespan for testing is reduced which has made the process more cost-effective.

1. Visual testing with ease

As explained by Adam Carmi - "Visual testing is a quality assurance activity that is meant to verify that the UI appears correctly to users". She is the co-founder and CTO of Applitools, a dev-tools vendor.

Artificial Intelligence helps in discovering visual bugs by performing visual testing of applications. It uses pattern and image recognition and ensures that the view and functioning of visual elements are appropriate. Artificial intelligence tools can evaluate the dynamic UI controls on the pixel level, regardless of their shape and size.

1. Plethora of Testing Frameworks

You never know what type of framework your audience will use to access your materials from. AI featured automation testing allows you to test for applications on different devices which people might be using, such as mobile, desktop etc. Further, a comprehensive testing would ensure that no framework remains untested and no stone left unturned.

1. Result oriented and data driven

The automated testing tools are inclined more towards generating specific results - a detailed report on the software. It portrays that the software will be of more value if it is tested thoroughly. These tools offer extensive reports and large amounts of data for the test results. This data can be further used by developers to write code in a more efficient manner.

Conclusion:

Indubitably, artificial intelligence has proven to be a boon for the software testing industry. A massive growth is observed in the companies working towards making a better future using artificial intelligence. Furthermore, with the growing usage of smartphones, there is a lot of scope for artificial intelligence to flourish in the mobile app development services industry. Last, but not the least, artificial intelligence is yet to unfold a whole new era of machines that will assist human beings in every possible way.

Wyne is a business Analyst. In his spare time, he loves to do sports activities.