In this article, we talk about how smart test automation techniques using AI and ML can help project teams reduce the testing effort and improve test coverage.
As previously mentioned, the best testing results can be derived by infusing smart and intelligent test automation tools to address pain points in traditional test automation. Now let’s talk about how smart test automation techniques using AI and ML can help project teams reduce the testing effort and improve test coverage.
How do scientists demonstrate that a drug or vaccine is effective? Putting it to the test. It's your only choice. And, if you're reasonable, you'd never use medications that haven't been thoroughly tested. So, why don't you test software as thoroughly as you should?
The shift towards microservices and modular applications makes testing more important and more challenging at the same time. Learn more here.
API endpoint when you send the get request to that URL it returns the JSON response. In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.
The demand for delivering quality software faster — or “Quality at Speed” — requires organizations to search for solutions in Agile, continuous integration (CI), and DevOps methodologies. Test automation is an essential part of these aspects.
What do you do when you have lots of free time on your hands? Why not learn test programming strategies and approaches?