Risk-based testing is essential because risks in software projects cannot be understood intuitively. Professional risk management requires thorough analysis and measurable data to identify and mitigate errors at an early stage. This approach enhances software quality and improves development efficiency.

A comprehensive approach to risk assessment takes into account not only business requirements but also other factors such as the scope of the release and the history of previous tests. By analysing past test cycles, for instance, it can be determined whether the risk associated with a particular feature has decreased through consistent testing or remains high.

Many test project teams organize risks and test priorities in individual spreadsheets or use non-integrated spreadsheet applications.
Spreadsheets are often inadequate as they rarely establish a direct connection to actual test cases. This results in inconsistencies and hampers traceability. A more effective solution lies in a (semi-)automated method that analyses test data and integrates with existing tools. This creates a clear link between risk scores and test coverage.

The Q12-TMT Test Management Tool offers an evidence-based, multi-layered, and interdisciplinary solution for risk management. It automatically updates risk assessments in real time based on existing test cases and results. This saves time, reduces uncertainties, and enables data-driven decision-making, ultimately improving the quality and security of the software.