Test Automation in the World of AI and ML

My article on "Test Automation in the World of AI & ML" recently got published on InfoQ.


Here are the key takeaways mentioned in the article -

• There are many criteria to be considered before building framework / selecting tools for Functional Test Automation
• It is very important to prioritise framework / tools capabilities needed for the software-under-test
• A good, scalable Test Automation Framework that provides fast and reliable feedback to the team enables collaboration and CI/CD
• Debugging / RCA (root cause analysis) and support for libraries / tools used is an afterthought in most cases. Do not fall in that trap.
• There are some promising commercial tools that fit seamlessly in the Agile way of working. Depending on the complete context, these tools may be a good choice over building your own framework for Functional Automation.

You can read the full article from here. 

Looking forward to comments on the same!

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