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.
To optimize the user interface (UI) for XDM, UBS Hainer recently conducted a comprehensive usability survey with several of its customers. The interviews provided valuable insights into user experiences and identified potential areas for improvement.
Digital technologies have introduced new business models that pose strategic challenges for companies, particularly in the field of Data Governance. Procuring and maintaining high-quality test data, as well as meeting software testing requirements, are critical factors in this context.
Company management must comply with mandatory regulations, such as GDPR and others. Our customers look at such externally mandated projects as a chance to enhance efficiency in software development.
This article outlines the benefits of utilizing an automated test data provisioning tool like XDM from UBS Hainer and highlights the key requirements necessary for maximizing its effectiveness.
The need for continuous deployment also emphasizes the importance of continuous testing. In an interview with Christoph Stock, Product Development Manager at UBS-Hainer, we asked if the implementation of this process can be achieved without test data automation?
An agile tool for automated test data procurement impacts multiple departments within an organization, making it essential to convince all stakeholders of its benefits before implementation. This can prove to be a challenging task. UBS Hainer helps to coordinate and accelerate this process.
