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.
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.
Quality Engineering Basics: Quality Metrics
Continuing the series explaining the essential parts of Quality Engineering, this time Brienna Ransom suggests different types of quality metrics on bug, product and automation levels.
How Do Employers Measure a QA Tester/Engineer's Proficiency?
Both managers and testers may ask themselves this question. It's hard, and there's probably no one straightforward answer, but it's interesting to see what people suggest.
This discussion continues in another thread about Metrics to assess testers.
From Data to Decisions: My AI-Driven QA Metrics Framework Journey
Amr Salem created an intriguing automated process for collecting quality metrics and shares it with us in this detailed overview.
Introducing a QA Process to a new team
Joining a new team and wondering how to kick off testing processes? There are several detailed pieces of advice from the testing community on what to do.
Furthermore, Katja Obring shares a perspective of The Solo Tester's Dilemma: When Enterprise Metrics Don't Fit.
What 'quality' metrics are you all measuring?
Someone asked this question on Reddit, struggling to come up with valuable quality metrics that, sparked an interesting discussion in the comments.
Furthermore, Rodrigo Martin explains How we track test-related events at New Relic.
Welcome to the 246th issue!
It's hard to believe that DORA metrics have been around for a decade now.
They're considered an industry-standard way of tracking the software delivery throughput and stability.
So it's great to see Google's Highlights from the 10th DORA report — compiled by Nathen Harvey and Derek DeBellis.
What got my attention is that nearly 75% of responders use AI for code writing and 60% for test automation.
However, as we learn, it has negatively impacted both the software delivery throughput and stability.
No wonder that 39% of responders don't fully trust AI-generated code.
So what is there to learn for us?
Let me answer with this megathread on Reddit — Manual testers are ABSOLUTELY needed.
Happy testing! 🙂
From Data to Decisions: My AI-Driven QA Metrics Framework Journey (Part 02)
Following the first part, Amr Salem shows how to implement the innovative process for collecting QA metrics with AI.
Top QA Metrics for Software Quality
Short on ideas for quality metrics? Prashant Kumar got you covered. Not only he explained what the good traits of a metric are, but also listed out 34 of them. That's a lot of inspiration!
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