Open-source testing tools ranking based on their GitHub metrics, which one are you using?
Someone shared a comparison of the most popular open-source test tools from OSS Insights (cool tool, by the way) that rates them by a number of GitHub stars. Quite interesting to see the trends!
A Way to Effectiveness: Release Quality, Volume and Speed in 1 QA Metric
Gleb Sarkisov came up with a modified formula for calculating the Defect Density metric and described this process in detail.
Furthermore, Dmytro Stekanov wrote a great article on Ensuring Quality in the Product Backlog: The Role of QA in Refinement.
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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.
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.
Developing a Software Quality Strategy
This is a good high-level overview by Summer Weisberg of what steps are needed to create a software quality strategy including metrics, methodologies and processes.
Bug count by itself is a dangerous metric. Kristin Jackvony explains why we should approach it with caution, taking into account different scenarios.
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.
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?.
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.
