Insights
How to allocate test effort by risk, where AI helps and where it doesn't. Articles from our work in banking, insurance and rail.
Articles
Risk-based testing: prioritising test effort with a risk matrix
Likelihood × impact, step by step to a 5 × 5 matrix, with an example, the calculation and test depth per class.
Estimating defect likelihood with AI: data sources and limits
Defect history, code changes, complexity and interfaces as data sources, how to check the estimate and where it reaches its limits.
For your own modules, use the risk matrix calculator.
For banks and financial entities: checklist of testing evidence under DORA.
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