![]() ![]() Production data should never be in test environments. Whichever stage we talk about, one thing is for sure. Performance testing or load testing requires large batches of test data. However, realism might already be an important test data quality. Test data for unit tests consist of simple, typically small samples of test data. Unit tests are the first to take place in the software development process. Application testing is made up of lots of different parts, many of which require test data. The definition of test data depends on the type of test. According to Gartner, 20% of all test data will be synthetically generated by 2025. Saving time and money is already possible with readily available tools like synthetic test data generators. In a 2021 report, 75% of QA experts said that they plan to use AI to generate test environments and test data. AI-powered testing tools will improve quality, velocity, productivity and security. What is true in most fields, also applies in software testing: AI will revolutionize testing. Test data challenges plague companies of all sizes from the smaller organizations to enterprises. Up to 50% of the average tester‘s time is spent waiting for test data, looking for it, or creating it by hand. However, good quality, production-like test data is still hard to come by. Applications need to be tested faster and earlier in the software development lifecycle, while customer experience is a rising priority. The agile and DevOps transformation of software testing has been accelerating since the pandemic and there is no slowing down. ![]()
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