How AI is transforming software testing?
AI (Artificial Intelligence) and ML (Machine Learning) are the cool new kids on the block in tech. They are being integrated into many verticals and are impacting our daily quality of life. You can find many practical examples in existence such as Netflix’s movie recommendation, Amazon’s product recommendations, home automation, and even self-driving cars. In regards to software companies, more specifically, QA testers are wondering how AI is transforming software testing.
“In brief, AI is transforming software testing by not only automating manual tasks but learning of changes and automatically adapting. This helps save time which reduces costs. It can also point out signals for managers to make better data-driven decisions.”
According to Raj Subramanian, an expert speaker in the field, Artificial Intelligence is an area of computer science for building machines that can ‘think.’ Machine Learning is a subset of AI, giving computers the ability to learn without being explicitly told too. And finally, Deep Learning is one area of ML, which is a technology based on neurons like in the human body. Each neuron learns from another, reacting together in a neural network.
For example, think of these ‘neurons’ working together and learning like a sense of smell. Ever realize how you can smell something and it brings back a set of connected memories?
How can AI help software testing?
UI testing can be cumbersome because the user interface constantly changes. When you combine that with building test scripts, an automated solution makes for the more logical decision. And with many DevOps teams developing in fast agile life cycles, it is important not to have a bottleneck at the regression testing stage. This can delay the incremental releases of the product.
Regression test maintenance can become an issue in an ever-changing environment- especially at scale.
So, how can we alleviate pain points by making tests easy to maintain? We do it with AI-powered automated testing software such as Autify. With Autify, a QA tester can record a test case scenario and the software automatically transforms it into a script. If there is a change in the UI, the automation engine will automatically detect it for the tester and adapt test scenarios accordingly.