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Two Simple Reasons that ChatGPT (AI) Won’t Work in End-to-End Test Automation
It is just hype, like many over the last two decades.
Non-Medium-Members: You can read this article free on Vocal.
With the hype of ChatGPT, AI in Test Automation has been talked about a lot, some even listed it as the Testing Trend 2023. This view is wrong.
Table of Contents:
· “ChatGPT is incredibly limited”
· Recap of What ChatGPT can do in End-to-End Test Automation
· Why is AI (such as ChatGPT) very limited in assisting End-to-End Test Automation?
∘ 1. Test Automation is harder than Coding, and AI is not replacing programmers yet.
∘ 2. Test Creation is only a minor effort in Test Automation
· Summary
“ChatGPT is incredibly limited”
This comment is not mine. It is from a tweet by Sam Altman, CEO of OpenAI:
As a test automation engineer, I consider my job quite important. Do you?
If you treat your work as mine, then “talking about AI replacing test automation” is totally irresponsible and wrong.
Accept the “ChapGPT is incredibly limited” for general use. Next, I will explain why it is even much more limited in the context of real End-to-End test automation.
Recap of What ChatGPT can do in End-to-End Test Automation
I did a few exercises using ChatGPT for testing (in this article), like this simple one below.
ChapGPT only generated generic, hypothetical test steps.
