Every day new AI tools are being created to simplify the tasks that require effort and time. AI tools can generate content, create images from text, generate videos from text, write code, and help you with web development, user interface development, and even software testing.
More and more teams around the world are now using AI tools in one way or the other to improve their work efficiency. One such use case is software testing. Yes, if you have a small team working on building some applications then you can save your cost of software testing by using an AI tool to test your software.
Using an AI tool to automate software testing will not only save money but will also improve the software or application in the long run. Before exploring the different AI tools that you can explore for software testing, let's see some benefits of using AI in software testing.
Benefits of Using AI Tools for Software Testing
Here are some of the major benefits, apart from the obvious ones - time and cost.
1. Better Test Case Generation
A software testing team can write test cases for any code base, but a program, once configured properly, can generate better test cases and even code the edge cases that are generally missed by humans. For example, if a human has to perform a brute force attack, it will take a lot of time, on the other hand, a program does it much faster. Similarly, AI tools are far better as compared to humans in generating test cases for a given code base.
2. Improved Code coverage
When you have more test cases, you get better code coverage. So, if you use an AI tool, that can generate more test cases, it can get you better code coverage too.
3. Automatic Updates
When you update your code, the AI tool can very easily update the test cases as per. If there is a code change related to some object structure, some request-response object, or some database table, the AI tool can very easily fix the test cases as per the new code.
4. Test Data Generation
If you want to generate some test data, all you have to do is generate a sample set and then let the AI tool generate similar data for you. All you have to do is, inform the AI tool about the context in which you would want to use that data.
5. Test with Data
Once you have a sample data set generated, you can use the dataset to test your software with large datasets. Testing any application with a large dataset has many benefits like testing how the application will perform under load, or with concurrent connections, etc. This will not only help you understand how your software will perform under load but can also unearth several issues in the code.
6. Predictive Analysis
When you use an AI tool for writing test cases for your software, over some time, the AI tool will learn about your code and will understand which areas require more effort and which areas require less effort. Or, it can also pinpoint the error-prone part of your code base. You can use this information to prepare guides for your development team, to write better code, so that fewer bugs are found during software testing.
7. Improved Regression Testing
AI tools can very smartly figure out which test cases can verify certain code changes so that you don't have to worry about running the entire test suite after code changes are submitted. Only some selective test cases can be run to verify specific code changes, hence saving time.
8. Simulate User Behaviour
You can easily simulate user behavior using AI tools to test your user interface, and user input in forms, and understand how users will interact with your application to improve your application.
9. Keep Improving
AI tools constantly learn and improve so over some time the tool will become better at writing test cases and will also suggest ways to avoid redundant issues in the code during development.
AI Tools for Automating Software Testing
Here are some tools that you can start using for automating software testing.
1. Selenium with AI Integration
Selenium is an open-source framework that is widely used for software testing. And there are many AI integrations available these days that you can use along with Selenium to improve your software testing.
For example, Applitools Eyes can be used for AI-based visual testing for web applications.
2. Test.ai
It can be used for testing web and mobile applications. It uses computer vision and machine learning algorithms to generate test cases for your code base.
3. Mabl
Mabl is another great AI tool that can be used to test the front end for web applications, automate test cases, improve code coverage, improve code quality, etc.
4. Functionize
This is yet another modern AI tool for software testing, which provides, autonomous test case creation, self-healing tests, and predictive analytics to improve test coverage and efficiency of your code base.
There are many other AI tools as well, like, Eggplant Functional, Tricentis Tosca, etc.
Conclusion
So if you are working on the development of some software then you can surely start to explore AI tools for automating the testing of your software. And I hope this article gave you some clarity on its benefits and different tools that you can explore.
