We keep hearing a lot about artificial intelligence and how it has revolutionized almost every industry, whether healthcare, education, finance or any other. Judging by how AI has been transforming every field, experts predict that it is forecast to contribute $15.7 trillion to the global economy by 2030.
AI has entered every facet of software development in recent years. Hence, its entry into software testing was anticipated.
With the meteoric rise in app development to meet ever-increasing demands, it has become essential to test all apps thoroughly to prevent their rejection by users. Automation testing has significantly improved the testing process due to its advantages over traditional manual testing. However, it is not enough. With apps getting increasingly complex, more extensive testing is the need of the hour.
Such comprehensive testing is possible only through AI testing tools since these tools have more powerful capabilities than conventional automation tools. AI tools empower testers to identify defects more accurately and deliver error-free software faster to the market.
So, if you are a software developer finding it challenging to keep up with your competition, you must take the proactive step of incorporating AI-based testing into your software development process. To ensure that every software you release is perfect in functionality and meets user expectations, you must test them using the right AI testing tools.
If we have still not convinced you why you need to incorporate AI into your testing strategy, read on to learn about the many benefits of AI testing tools.
The advantages of using an AI testing tool for software testing
These are the ways how AI testing tools will help you take your software testing process to the next level:
1. Enhanced test coverage
AI testing enables organizations to increase the overall depth and scope of the tests they run, refining software quality. AI enables testers to look into memory and file contents, data tables, and internal program states to evaluate if the software behaves as intended.
Through AI tools, you can execute hundreds of different test cases in every test run providing extensive coverage that would be impossible with manual tests.
2. Continuous testing
AI-powered testing complements the CI/CD (continuous testing/ continuous delivery) process. Testers can execute several tests in parallel as often as required, ensuring that the applications they test are bug-free and superior in quality. They can even set conditions that will trigger specific outcomes for tests.
AI testing ensures that apps are evaluated at every stage of the development process rather than only at the end stage. It helps to ensure that defects are identified early and resolved quickly to prevent them from becoming bigger problems.
3. Test prioritization
With the help of AI testing tools, you can prioritize tests based on their potential effect on the application. AI algorithms are programmed to determine those tests that are more likely to find defects by identifying patterns and analyzing historical data.
This helps testers to prioritize tests as per their importance and schedule tests that are less significant for later.
4. Reduces time taken for debugging
AI tools have the capability to debug test cases by analyzing the findings and determining the root cause of their failure. As a result, testers can determine the source of defects faster and more accurately, thereby lessening the time and effort needed for debugging. They can also easily identify fingerprints of failures and spot duplicate errors.
5. Optimization of tests
By using AI testing tools, you can enhance your previous manual testing efforts. Through analysis of testing data and identification of patterns, AI algorithms can suggest changes to your testing strategy to enhance the efficiency and effectiveness of your testing efforts.
6. Savings in time and costs
Every time the source code is modified, software tests have to be repeated. Manually repeating those tests is time consuming and expensive as well. Automated tests let you execute them repeatedly at no additional cost and a quicker pace.
Moreover, when you integrate AI into software testing, the overall timespan is reduced even further. Tests that may have taken days to complete can be executed in a few hours, thus directly translating into cost reductions.
7. Greater accuracy
Conventional test automation often fails when it comes to dynamic data. However, with AI-based testing, you can easily test your elements’ colours, shapes and sizes to ensure they are perfect and in the appropriate places.
This process, called visual regression testing, increases the accuracy of your tests. These features in AI tools can save hours of checking and fixing while improving your tests’ accuracy and quality.
8. Enhanced regression tests
Because of the need for rapid deployment, there is a faster requirement for regression tests beyond the capacity of humans. However, testers can employ AI to perform such time-consuming and tedious regression tests.
Companies can use Machine Learning to develop test scripts. AI can even validate alterations that may otherwise be difficult in manual testing.
9. Almost Zero maintenance
Another advantage of AI testing is that testers can unlock the power of self-healing tests. When any changes to the application are detected, AI can enable the tests to change automatically.
In the traditional approaches, the script would fail when there were changes in the user interface object property. But with AI-powered self-healing, the tool senses the property changes, leading to the self-healing of the internal scripts during runtime.
Wrapping Up
By now, it must be clear what AI can bring to the table and how with even greater advancements in the future, it will continue to revolutionize the software testing process. The next step is to pick a reliable AI testing tool to elevate your testing efforts to greater heights.
Among the many tools available, TestGrid is one AI-powered end-to-end testing platform that has proven time and again that it is the best platform for testing mobile or web applications. With the TestGrid platform, you get a wide array of features that are unmatched by any other tool.
TestGrid’s AI testing enables you to generate test cases quickly, saving 80% of the time taken to manually create tests. It supercharges your testing efforts by identifying bugs and vulnerabilities during the early stages of the development lifecycle, reducing the debugging time by up to 60%.
Moreover, TestGrid offers AI-based self-healing of tests, the capability to conduct hundreds of tests in parallel within minutes, remote access to real devices and browsers whenever you need and many more features at a fraction of the cost you would spend on another tool.
With TestGrid, you can perform mobile app testing, cross-browser testing, and API testing and obtain performance metrics, all at no additional cost. Using TestGrid, you can easily keep up with your competitors and are assured of a strong foothold in the fast-evolving software development industry.
