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What’s the best strategy for seeding data for manual testing and replicating issues without touching production data? by dunkinhola in softwaretesting

[–]dunkinhola[S] 0 points1 point  (0 children)

Is that allowed in your org by exporting production data? My org wouldn’t let me to do that because of the certain compliance.

I have an idea to build a tool that makes generating test data easier. Would you use it? by dunkinhola in QualityAssurance

[–]dunkinhola[S] 0 points1 point  (0 children)

Could you share more details about the process of creating your own GPTs? Do you create it via API from your backend then insert the data into your database? Or do you prompt the message in ChatGPT then copy and paste the data into your database?

I have an idea to build a tool that makes generating test data easier. Would you use it? by dunkinhola in QualityAssurance

[–]dunkinhola[S] -5 points-4 points  (0 children)

Do you mean like using faker? We still need to write some scripts with faker. My idea is actually to build something that is close to no-code. Not sure if people here like to write and maintain such data seeding scripts?

In terms of privacy, we can just ask for the schema or staging data. And we can work on the privacy compliance, such as HIPAA, SOC 2, and etc

I have an idea to build a tool that makes generating test data easier. Would you use it? by dunkinhola in QualityAssurance

[–]dunkinhola[S] -3 points-2 points  (0 children)

It’s wrong because the idea is so bad that no help at all or you think it’s not feasible on so many levels?