You’ve come to the right place if you’re looking to switch your AI-driven application’s UI testing from manual to automated.
Here are a few steps that will help you get on the right track to jump from manual UI testing to automated testing for your AI-driven application.
Set the goals
Setting clear and achievable goals is the first step when identifying a business objective for test automation. Before embarking on a test automation project, it’s important to determine what you hope to achieve and what metrics you will use to measure success.
Some common goals for test automation include:
Improving test coverage: Automated tests can cover a wider range of scenarios than manual testing, improving the overall quality of the software.
Reducing testing time: Automated tests can be run much faster than manual tests, allowing for more thorough testing in a shorter amount of time.
Increasing test accuracy: Automated tests are less prone to human error than manual tests, resulting in more accurate testing results.
Create a roadmap for your automation efforts
Setting priorities for your test automation efforts comes after you have established clear, doable goals for the project.
It’s crucial to keep in mind that not all tests can be automated and aiming for 100% test automation is unrealistic. A human touch is necessary for some tests, such as exploratory testing and usability testing, which cannot be automated.
The most important tests that need to be automated should be your first choice when trying to decide how to prioritize your automation efforts. These could be routine tests, manual tests that take a lot of time to complete, or tests that are prone to human error.
A roadmap for implementing automation can be made once the most important tests have been determined. The tests should be prioritized on this roadmap.
Streamline workflows
The next stage is to streamline your QA and development work to make sure that your testing process is as efficient and effective as possible after you have determined which tests are eligible for automation and have prioritized your automation efforts.
By automating the build, testing, and deployment of code changes, continuous integration and continuous testing procedures can aid in streamlining the QA and development process.
Use AI to initiate the test process
Due to machine learning algorithms’ tendency to change continually, testing AI-based systems presents particular difficulties.
Using AI directly is one method of testing AI-based systems. Machine learning models may need to be trained to find abnormalities or flaws in the AI system. For instance, anomaly detection algorithms can be used to find odd patterns in the data that the AI system is analyzing.
A different strategy is adversarial testing, which includes purposefully giving the AI system modified or false data to see how it responds. This can assist in locating the AI system’s flaws or vulnerabilities.
