What challenge does a tester often face when scaling a Data-Driven Testing Framework for large datasets?
- Difficulty in maintaining test data
- Incompatibility with parallel execution
- Increased execution time
- Limited test coverage
Testers often face the challenge of maintaining large volumes of test data when scaling a Data-Driven Testing Framework. This includes organizing, updating, and ensuring the accuracy of diverse test data sets. The increased complexity of managing data can lead to higher maintenance efforts and potential issues in test data consistency, impacting the effectiveness of the framework.
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