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QA Forum 2025 5 26ΒΆ

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

πŸ” Key Discussion PointsΒΆ

βœ… Ensemble Exploratory TestingΒΆ

  • 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:

β€œDo 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.


πŸ“ˆ Regression TestingΒΆ

  • 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


πŸ€– AI in TestingΒΆ

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


πŸ”₯ Risk TestsΒΆ

  • 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.

πŸŽ‰ Recognizing ContributionsΒΆ

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


πŸ“ Final NotesΒΆ

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.