Most errors in long-lived software occur in code areas that change a lot. To do things right, you have to make sure that no important changes go live untested.
However, with AI Coding Agents now generating code at record speeds, keeping track of every change is harder than ever. Test Gap Analysis (TGA) is your safety net, designed to pinpoint exactly where your testing falls short.
After an introduction to Test Gap Analysis (TGA), hear what we learned using TGA with customers and in our own development for more than 15 years and discover the answers to the following questions:
In addition, see best practices and useful KPIs in continuous use and the results of a cost-benefit analysis from many years of service at Munich Reinsurance Company.
And explore the Analysis live in action in our demo!