Data Driven Test Scenarios - Seguridad Mania.com - España y América Latina

Finding and creating the right data is one of the most time-intensive tasks associated with testing, but it has to be done in order to produce realistic tests. Development and testing teams need faster ways of generating variances in data to satisfy their testing goals without the painful, manual effort this typically requires. Join Continuous Testing expert Alex Page as he discusses how to harness the power of model-based testing to quickly identify and generate the right test data early in the development cycle. By making use of both synthetic data generation as well as automating the definition of data criteria for just-in-time data resolution, you will see the most modern and effective approaches to the test data problem in action. You'll learn: Modeling data variance in ARD Utilizing data criteria for execution time data resolution Data thresholds and boundary testing Data-driven API testing Synthetic data generation The presentation will be followed by a Q&A session Join Continuous Testing expert Alex Page as he discusses how to match the right test data needs to model-based test designs early in the Agile development cycle. By identifying and integrating for different types of test data, teams can now leverage on data driven test scenarios to ensure applications function to the right set of use experiences while reducing costly manual efforts: