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What Are the Benefits of Using Artificial Intelligence on Testing?

by S. Publisher
February 27, 2023
in Technology
Reading Time: 3 mins read
What Are the Benefits of Using Artificial Intelligence on Testing?
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Testing is a crucial phase in any software or application development. How well the testing process is done determines the project’s usability, availability, and reliability once deployed. While we’ve been used to manual testing, which takes time and is tiresome, a new era of AI automated testing has downed on us. Numerous benefits come with using AI testing, and we will discuss most of them in this post.

Why Use AI Automated Testing?

Change is inevitable; even for us as developers and businesses, we must accept the changes, such as shifting from manual to automated testing. Software development keeps getting complex, and as we strive to enhance production quality, we must give room to new technologies like artificial intelligence and accept their role in the industry.

AI-powered testing is now allowing testers to do more. Shifting from manual testing to neat and more effective automated testing has the following benefits.

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1. Enhanced Accuracy

Manual testing relies on a human. Therefore, it is subject to human error, which reduces the accuracy of the particular tests. When there is reduced testing accuracy, it’s likely that the team will encounter a bug once the software is developed, and more time will be required to fix it.

However, AI-automated tests offer a regression testing scenario that goes the extra mile to ensure the testing is accurate. With AI in testing, high accuracy means less time will be required, and the team can focus their time and energy elsewhere.

Moreover, you don’t need specialized testers for your software. Provided you have the testing scripts, anyone can handle the testing phase of the software’s development process.

2. Saves Money and Time

AI-based testing is faster and requires minimal or no extra human effort. Hence, you get to save on the time required in manual testing while saving on the cost of hiring testers. Still, when there is a change in the code, AI testing will quickly check your app instead of waiting for manual testing.

With automated testing, your application will be more reliable and available. If you are unsure how to get started with AI testing, talk to an agency such as JayDevs, and they will help you implement AI automated testing for your application or software.

3. Continuous Testing

With AI automated testing, it’s possible to schedule automated testing at a specified time. You can use a script to trigger the automated tests; no human effort is required to run the test. Thus, you can continuously test your application and specify the action to be taken when something occurs during testing, such as a bug or error.

Moreover, this continuous testing will increase productivity as your team can focus on various tasks and leave the automated scripts to test, fix, and report any errors in your system.

4. Reduce Maintenance

We’ve discussed how automated AI testing ensures the accuracy of your tests. Additionally, this accuracy helps reduce the cost and need for future maintenance. Automated testing is thorough, and all errors can be detected and fixed upfront, such that when the software is deployed, no errors that call for maintenance will be experienced.

Besides, by applying AI in testing to guarantee continuous testing, the testing models can fix the detected issues without triggering the need for any maintenance. If you need a web app, you can hire node developers, and after creating your web app and applying AI in testing, you won’t need to involve them in maintaining the application.

5. Enhanced API Testing

One crucial phase of any testing is API testing. APIs are what determine the communication between your application and other sites. Hence, by applying AI testing, you enhance API testing and can clearly check how your APIs work before implementing them. AI in testing helps visualize how the application or communication occurs, aiding in creating more effective APIs for your software.

Conclusion

AI is now being applied in testing to ensure more productivity, save on cost, enhance API testing, and better accuracy of tests. You should implement AI testing and enjoy the benefits that come with it.

Tags: ArtificialbenefitsIntelligenceTesting

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