Using Analytics: Why This Is Important for QA Professionals
Luciana Mores Bernardi shares some valuable thoughts on why analytics can help you better understand your users and which metrics you can use to improve quality.
Bug count by itself is a dangerous metric. Kristin Jackvony explains why we should approach it with caution, taking into account different scenarios.
QA myth busting: Quality can be measured
Vitaly Sharovatov wrote a great article explaining why it's hard to measure quality and gives examples of several metrics that can be used as signals rather than measurements.
Someone on Reddit is looking for good quality metrics and people gave fair responses and suggestions.
Moreover, you may want to Use Ishikawa diagrams to improve quality as Mike Harris suggests.
What does it take to test LLM-powered apps? Abiola Rasaq explains the challenges and approaches.
Also, Chamila Ambahera demonstrates: Can We Automate the Testing of AI-generated content? Part 4 (Metric Evaluation Using DeepEval).
The biggest-ever global outage: lessons for software engineers
In the previous issues, I've shared testers' opinions on the CrowdStrike outage. And today, I'd also like to highlight this amazing overview by Gergely Orosz.
Moreover, Geoff Cooney shares A Quality Metrics View of the CrowdStrike Outage based on mabl's data.
And finally, CrowdStrike has just released The Final Root Cause Analysis, explaining all the technical details.
Test Automation Key Performance Indicators (KPIs)
Gaurav Verma explains the importance of KPIs, suggests which ones to use for test automation, and shows an example of a test automation coverage metric.
How to setup ReportPortal dashboards using attributes for test observability
Want to improve test observability? Gaurav Singh demonstrates how to set up and use the open-source tool ReportPortal for insightful test-related metrics.
Why Code Coverage Matters For a Quality Culture (Part 1)
There are many great points brought up by Melissa Eaden about the importance of caring for code, the coverage metrics and the usefulness of dashboards and reports. You can learn more in the second part.
A good follow-up read to that is Petr Plavjaník's insights into Code Coverage: What the Experts Really Think.
Visualizing Quality: How Old are Your Bugs?
In this practical guide, Lina Zubyte explains how keeping clean bug backlogs, as well as tracking bug average age metrics, can help teams focus on quality improvements.
