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Understanding the Role of Decision Table Testing
- Decision Table Testing is a type of software testing commonly created using Excel for clarity and understanding.
- It helps in confirming code behavior, while structural testing like unit tests is used to validate the implemented code.
- Understanding why both Decision Table and structural testing are necessary for testing the same logic is crucial.
- Decision tables have a simple structure with conditions listed vertically and outcomes at the bottom.
- Different strategies exist for Decision Table Testing, each focusing on specific coverage aspects.
- Decision Table Testing and structural testing serve different purposes in testing to ensure complete coverage.
- Decision Table Testing is essential to verify intended decision logic, reveal missing logic, and clarify test coverage.
- It helps in identifying overlooked requirements, detecting missing logic not captured by structural testing, and improving test coverage.
- Model-based testing using decision tables is beneficial for detecting specification gaps and non-Boolean logic in software.
- Decision tables, combined with structural testing, ensure high-quality software by covering both missing logic and implementation mistakes.
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