Once upon a time, application testing was really easy. All you had was a single mainframe and limited data sets. Users were satisfied with a simple application that provided the basic features. But nowadays the competition to develop the best app is intense. Companies are focusing on developing applications that provide the best user experience and features. This means companies are also focusing on application testing to ensure the features they implement work. And with testing, there comes a need to understand how to do test data management in agile. Why?
When it comes to testing, there are many factors that require consideration. Compliance standards like the European Union’s General Data Protection Regulation (GDPR) have added new challenges to testing, and overlooking even one area can expose an organization to massive risks, not the least of which are lawsuits and compliance fines. So how do you avoid these pitfalls? What do you think should be the number one task for testing teams?
With an increase in companies adopting agile, the need to accurately and efficiently manage test data has also increased. Proper test data is a must when shifting to a more flexible development process. After all, it’s the best way to improve the quality of tests. Therefore, it’s important to understand how to do test data management (TDM) in agile. Because there are various boxes to check before you can mark a test complete, TDM should be a high priority when it comes to streamlining testing.
Because agile is relatively new, handling TDM can be a challenge. So, in this post, we’ll take a detailed look at how to handle TDM in agile. Before we get started, though, it’s important to understand exactly what TDM means.
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