Hello
I am using Jira XRAY Atlassian product as my test management suit. We have a number of automated and manual test cases and I am working on an AI model to evaluate the quality of my test cases.
My problem is the evaluation of the readability and completeness of the test steps in a test case. Ideally, I am looking for a dataset of POS instructional tagging, based on which I can train my model and then using nltk I can identify sentences starting with an actionable verb, and eliminate any probablistic terms like mostly, probably etc from my test steps.
Is there anything similar already implemented? OR do we have a dataset based on which we can benchmark the quality of our test steps in a test?
