How to Determine OKRs for Software Quality Assurance
If you want to set objectives for your QA team, Putra Agung Pratama advises how to do that, using metrics and examples.
Speaking of metrics, Melissa Fisher came up with an interesting one: Test coverage — how about quality coverage?.
Quantitative Software Quality Management
In this interesting read, Peter Lupo explains how to use statistics for quality metrics. There's also the second part about metrics of features and releases.
How do we measure the Performance of a Microservice, Service, or Server?
Srinath Perera describes two main metrics that matter in performance testing and then gives a few examples of running such tests.
Device and OS Version Selection Strategies for Effective Mobile Automation Testing
Irfan Mujagić wrote a helpful guide to choosing the right approach for testing on mobile devices, including some insightful sites with metrics and stats.
Test coverage is one of the most popular metrics. But it's not the only one, and Thomas Shipley gives five great examples of other metrics that can help you assess how valuable your tests are.
If It Cannot Be Measured, It Cannot Be Improved
Alex Shurov shares a few stories and examples of how metrics can help improve the quality of software products.
Additionally, Neil Matillano explains The Power of Metrics: How Data-driven Insights Can Supercharge Your Testing.
Easy measures to observe our software quality efficiency
Julien Barlet describes the famous DORA metrics and suggests two more focused on defects that helped them track quality improvements.
In this interesting presentation, Gil Zilberfeld explains the process of implementing a quality metrics dashboard for API teams and what benefits it brought to them.
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.
This is an amazing example of a bug quality dashboard by Doron Bar. Not only he shows how it looks, but also explains every graph and metric.