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.