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AI in Software Testing
Opportunities, Limitations, and the Human Touch
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Hello everyone,
Today I want to share some thoughts on how artificial intelligence (AI) is transforming software testing. We will look at how AI affects testing processes, how it performs validation, its pros and cons, and what it brings to the QA world.
Test automation is a technical job. It includes writing scripts, designing test architectures, solving automation issues, and debugging failures. As we know, in Agile environments, speed, quality, and automation are key. AI is growing rapidly in software, like a snowball gaining momentum, and its impact is impossible to ignore.
Thanks to AI, writing test cases, generating code, and planning test strategies have become much easier. With the right prompt, you can create detailed test cases quickly and efficiently. Let’s now take a closer look at how AI handles validation.
What Does ‘Validate’ Mean in Testing?
In the testing world, “to validate” means to check if something works as expected. It is not just about clicking a button and seeing a page open; it’s about confirming that the operation produced the correct result.
