How can you make QA engineering data-driven?
Quality assurance (QA) engineering is the process of ensuring that software products meet the desired standards of quality, functionality, reliability, and usability. QA engineers use various tools and techniques to test, verify, and validate software features and requirements. However, QA engineering can also benefit from a data-driven approach, which means using data to guide and improve the decision-making, planning, execution, and evaluation of QA activities. In this article, you will learn how to make QA engineering data-driven by following these steps:
-
Track critical metrics:By focusing on key performance indicators, such as defect rates and test coverage, you can shift from gut-feel to a data-driven QA approach. Tracking what works lets you replicate success and quickly address failures.
-
Foster a learning culture:Encourage sharing insights and best practices within your team. This continuous exchange not only builds skills but creates a collaborative environment ripe for data-driven innovation in QA processes.