Using Data Objects to Create Effective Test Data

Fact-the quality of test data directly impacts the quality of testing. Traditional manual methods for creating test data are laborious, time consuming, often ineffective, and error prone. Huw Price explains the concept of test "data objects," an approach he uses to create high quality test data and eliminate the need to access live production data for testing. Data objects are abstractions of the data that capture the essence of a data type that can be quickly assembled to support specific tests. With definitive examples, Huw shows how to create basic "data objects" using data sampling and then expands to more complex objects using "data inheritance" that varies the data to satisfy specific testing needs. Learn about test data selection techniques-such as all-pairs, cause and effect, randomization, and probability distribution, to build high quality sets of data. You'll spend less time creating data and have the time to find more defects.