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Good Tests, Bad Results – How to Recognize Missing Test Data?

Why Test Data Significantly Impacts the Validity of Software Tests In many development teams, a familiar pattern emerges: a pull request is cleanly reviewed, automated tests pass, and shortly after release, issues still occur in production. This happens particularly often in systems whose data models have evolved over many years.

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XDM

Digital Inclusion in Practice: XDM Makes Accessibility the Standard

UBS Hainer has recently achieved a significant milestone: XDM is now fully accessible – a step that not only meets legal requirements but also opens up new user groups and improves overall usability. This article explores what accessibility means in concrete terms, what added value it creates, and how it was technically implemented.

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Synthetic Test Data

Boost Efficiency: Test Data Generation Powered by AI

This article explores how XDM’s innovative approach allows organizations to generate complex synthetic datasets that seamlessly integrate with existing development processes. Discover how this powerful tool can revolutionize your test data strategy while enhancing software quality, security, and regulatory compliance.

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Test Data Management

XDM vs. IBM Optim – Why Companies Make the Switch

Companies often face a choice between several TDM solutions, including IBM Optim and UBS Hainer’s XDM. – Based on customer feedback, this article shows how the solutions differ in detail and why many companies choose XDM as a more powerful alternative.

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