How can QA team leverage BDD acceptance criteria for automation regression testing

0 votes
We are developing a huge product with many different components. User stories are written by BA team and acceptance criteria are written in Gherkin. Acceptance criteria are well defined but are high level and QA team will be writing many more other test cases for automation as well as manual testing. Should QA team use those BDD acceptance criteria as baseline to write regression test suite and maintain a regression suite? Or QA should use BDD tools like Cucumber and develop automated test cases?
Apr 5, 2022 in Machine Learning by Nandini
• 5,480 points
358 views

1 answer to this question.

0 votes

There is no correct response; in my experience, the QA team wrote all regression and smoke suites. You can't separate manual and automated testing and rely on just one. The BDD approach is appropriate for businesses where managers will read your Cucumber tests to clarify what is being tested and what should be tested; otherwise, the time will be wasted. I recommend that the QA TL meet with the PMs to discuss those points; following that, you may choose the best method for your team.
BDD is more than just a quality assurance tool. It is a procedure that the entire team follows.

Hope this helps!

Join our Automation testing training to learn more about regression testing!

Thanks!

answered Apr 5, 2022 by Dev
• 6,000 points

Related Questions In Machine Learning

0 votes
1 answer
0 votes
1 answer

Can we use Normal Equation for Logistic Regression ?

Well not likely,  only one discriminative method ...READ MORE

answered Feb 24, 2022 in Machine Learning by Nandini
• 5,480 points
832 views
0 votes
1 answer

How to get early stopping for lasso regression

I believe you're referring to regularization. In ...READ MORE

answered Mar 23, 2022 in Machine Learning by Nandini
• 5,480 points
607 views
0 votes
1 answer

How can I convert PCFG in CNF for this grammar?

To answer your question. The CNF is given ...READ MORE

answered Mar 25, 2022 in Machine Learning by Nandini
• 5,480 points
708 views
0 votes
1 answer

How to add regression line equation and R2 on graph?

Below is one solution: # GET EQUATION AND ...READ MORE

answered Jun 1, 2018 in Data Analytics by DataKing99
• 8,240 points
6,567 views
+1 vote
1 answer

Building a Time series prediction model on web login timestamp

I had done something similar and ran ...READ MORE

answered Dec 7, 2018 in Data Analytics by Upasana
• 8,620 points
1,539 views
0 votes
1 answer

Difference between classification and regression score in Python scikit learn

Classification Score is used for discrete values ...READ MORE

answered Feb 24, 2022 in Machine Learning by Nandini
• 5,480 points
466 views
0 votes
0 answers

Limitations of Regression in Machine Learning?

what happens when you want to do ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
• 6,000 points
249 views
0 votes
1 answer

How to export regression equations for grouped data?

First, you'll need a linear model with ...READ MORE

answered Mar 14, 2022 in Machine Learning by Dev
• 6,000 points
394 views
0 votes
1 answer

Can we use Normal Equation for Logistic Regression ?

Unfortunately, only one discriminative method in classification ...READ MORE

answered Mar 30, 2022 in Machine Learning by Dev
• 6,000 points
868 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP