In a previous blog post, we define what Test Design Automation was and mentioned four key use cases companies are increasingly applying testing design automation practices. In this blog, we will deep dive into each one of these use cases.
Whenever a new feature or change wants to be implemented, usually the first step is for testers and developers to capture clearly all the requirements and information through concepts and diagrams on a whiteboard. But usually when translating this to “the written language” is where all breaks down. Defining requirements in a text-based manner is inefficient, as it tends to be error-prone, hard to organize and collaborate.
Test Design Automation introduces the concept of modeling, where the requirements broken down in the whiteboards don’t get converted into a text-based format but they get represented as mathematically precise visual flows, that add accuracy to requirements engineering and reduce ambiguities in the requirements while supporting better collaboration and communication across the team.
Automatic Test Generation
Test design automation allows you to generate automatically all the test cases and automated test scripts associated with the right data and expected results right from your requirements models. Further, when used together with test data management technology, the data for relevant test cases are automatically generated and used when running those tests.
Test Case Migration and Optimization
Implementing test design automation for test case migration and optimization will allow you to create the right number of test cases for maximum coverage and as a consequence deliver better apps, faster.
Considering most organizations use various test case management or lifecycle management tools for the maintenance and management of their test cases, it is crucial to have an integration with these various tools. By this integration, test teams are able to import test cases easily, remove any duplicates, and export the optimized test cases back to their existing management system.
Achieving Agile Testing
Agile testing embeds quality to the applications as they are being defined, designed, and delivered. In this use case, testing occurs within the sprint.
This agile testing use case brings together the three use cases mentioned previously, leading up to the goal of testing at the speed of agile. This means employing test design automation practices and providing testers with all the things they need to test the most functionality possible fast, within the sprint.
By enabling you to automate these testing activities, test design automation makes testing more efficient by reducing the testing time significantly and helping you avoid costly defects. You’re not only building apps that have more quality; you’re also delivering them faster and at lower costs.
What’s Next For Test Automation Design?
The impact of test design automation in powering testing at the speed of agile is increasingly evolving. Companies need to adopt new testing techniques like Test Design Automation, to keep up with customer demand by continuously delivering high-quality apps and experiences and getting ahead of the competition.