There is always a need for test data for manual, automation and performance testing. Many times defects get leaked at production due to lack of right data set used during initial test cycles. Chances of the tester to skip condition due to lack of right data is very high. Ex. Canada zip code has Char type data allowed, while most of the part in the world it’s numeric. A user story might not explicitly mention this during acceptance condition, while very implicit for developer design it for the numeric type. Chances of the tester to skip condition due to lack of right data. No one will defer to my opinion that, test data has a very important role in the entire testing cycle. In my opinion test, data should fulfill the following requirements, 1. Near to real life/production data 2. Should cover all boundary value conditions 3. Should cover special conditions 4. Can able to generate a test data output in various formats like ( CSV, XLS, XML, JSON, etc.) Now test data is no longer a bottleneck for continuous testing. You can generate synthetic test data on-demand and in real-time. Synthetic test generation tools provide high-quality test data that reflects even most complex data models. It is a different way to think about Test data. I will talk about Synthetic Test data generation platform with live example during this session.

April 26 @ 14:00
14:00 — 14:45 (45′)

Mukund Wangikar