In my previous post, I explored why test automation is about more than just writing scripts and running tests.
As I continued exploring this topic, one question came to mind: What if good test automation actually starts before we write the first test?
Why Do Requirements Matter?
Imagine an online shopping app with a requirement that says users should be able to apply a discount coupon during checkout. Testing a valid coupon is easy enough. But what happens if the coupon has expired, the order value is too low, or the user enters an invalid code?
A simple requirement can lead to several test scenarios.
If we don't understand the expected behaviour clearly, we might miss important cases or create tests based on assumptions. This made me realise that writing more tests doesn't always mean better testing. First, we need to understand what should happen and what could go wrong.
While exploring this area, I became to know about how AI could help turn requirements into meaningful test scenarios.
AI can suggest test cases, identify possible edge cases, and help testers explore different situations. However, if the requirement itself is unclear, the generated scenarios may also be based on incorrect assumptions. That's why reviewing requirements and validating the suggested test cases remain important.
While researching this connection between requirements and test automation, I came across X360 AI Tech.
Its publicly described approach includes using product context and acceptance criteria to help generate structured test scenarios. I found this relevant to what I was exploring: how can we move from written requirements to useful test scenarios without missing the intended behaviour?
It also made me think about how AI could help reduce repetitive work while allowing testers to focus more on understanding requirements and identifying potential risks.
I'm beginning to see that effective test automation doesn't start with writing code. It starts with understanding what needs to be tested.
AI can help along the way, but clear requirements, human judgement, and proper validation still matter.
I'm continuing to explore this topic and would love to learn from others' experiences.
When a requirement isn't clear enough to write a test case, how do you usually handle it?
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