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QA Forum 2025 5 26

Today’s discussion focused on the current status and improvements in Backend Testing. We covered key topics including:

  • Ensemble exploratory testing
  • Postman toolkit
  • Regression testing status
  • Smoke and risk tests
  • AI in testing
  • QA forum highlights

🔍 Key Discussion Points

✅ Ensemble Exploratory Testing

  • Multiple targeted sessions were conducted for different areas.
  • These sessions proved valuable for quick feedback and laid a strong foundation for app and regression testing.
  • Andy raised the question:

“Do we need to invest this much time and effort? Should we consider fewer people but run these sessions more frequently?”

Action item: Re-evaluate session frequency and participant count for future sessions.


📈 Regression Testing

  • Victor suggested building trend charts, similar to integration tests, to better visualize progress.

To-Do:
- Continue monitoring regression test effectiveness
- Build user creation into the internal testing API


🤖 AI in Testing

AI is showing promise in:
- Checking test coverage
- Supporting integration testing

  • Lars created a regression test project using AI.

Next step: Develop a prompt template to help others reuse and extend this AI setup efficiently.

Additional AI-driven ideas:
- Ticket review automation
- Test scenario suggestions
- Specification improvement recommendations


🔥 Risk Tests

  • Risk tests in certain areas are not run in the CI pipeline.
  • Gudmundur noted these tests are largely covered by existing risk tests.
  • Since they are rule-dependent and potentially redundant, we may consider removing them from the repo.

🎉 Recognizing Contributions

We also sent out prizes to developers who have made outstanding contributions to quality and testing efforts.
👏 A big thank you to everyone for your collaboration and commitment!


📝 Final Notes

The meeting was productive with forward-looking ideas on improving our backend testing processes using both manual strategies and AI-driven innovation. A few action items are emerging, particularly around optimizing effort and AI opportunities.