-
Model Based Testing as a Structured Approach to Test Design
Model based testing is a systematic testing approach where test cases are derived from models that represent the expected behavior of a system. These models describe states, transitions, inputs, and outputs, providing a clear and abstract view of how the system should function. By relying on models instead of manually written test cases, teams can achieve more consistent and comprehensive test coverage.
One of the key benefits of model based testing is its ability to uncover gaps in requirements and logic early. Since tests are generated from behavior models, inconsistencies or missing scenarios become easier to identify during the modeling phase itself. This leads to better alignment between requirements, design, and testing activities.
Model based testing also supports scalability and maintainability. When system behavior changes, updating the model automatically updates the associated test cases, reducing manual effort. This makes it especially useful for complex systems with multiple states, workflows, or interactions.
By providing a structured and reusable foundation for test generation, model based testing helps teams improve coverage, reduce defects, and maintain confidence in system behavior as software evolves.
keploy.io
Model Based Testing: A Complete Guide for Modern QA Teams
Learn how model based testing improves coverage, reduces maintenance, and accelerates automation with behavior-driven models for evolving software systems.
-
0 Respostas
Desculpe, não há respostas até agora. :(
Log in to reply.