Which two types of test cases should be used when validating a report, and why?

Which two types of test cases should be used when validating a report, and why?

• A. Inclusive cases and exclusive cases.
• B. Positive and negative cases.
• C. Single-case and multi-case.
• D. Error and success cases.

Answer: (A)

When validating a report, you want to confirm what should appear and what should not appear. Inclusive test cases check that all data that belongs in the report is present, with the correct fields and accurate totals within the defined scope. Exclusive test cases check that data outside the scope is omitted and that filters work correctly, including at boundary conditions. For example, in a quarterly sales report, inclusive tests would verify that every sale within the quarter is included, the right fields are populated, and the totals reflect those records, including checks at the quarter’s first and last day. Exclusive tests would ensure that sales outside the quarter, or from other regions if the scope is regional, are not included, and that records with missing required fields are excluded. This approach directly targets the report’s data selection and filtering logic, ensuring the results match the intended scope. Other patterns like positive/negative, or error/success, are broader or focus on different aspects of testing and don’t inherently address the inclusion vs. exclusion criteria that matter for report validation.

When validating a report, you want to confirm what should appear and what should not appear. Inclusive test cases check that all data that belongs in the report is present, with the correct fields and accurate totals within the defined scope. Exclusive test cases check that data outside the scope is omitted and that filters work correctly, including at boundary conditions.

For example, in a quarterly sales report, inclusive tests would verify that every sale within the quarter is included, the right fields are populated, and the totals reflect those records, including checks at the quarter’s first and last day. Exclusive tests would ensure that sales outside the quarter, or from other regions if the scope is regional, are not included, and that records with missing required fields are excluded.

This approach directly targets the report’s data selection and filtering logic, ensuring the results match the intended scope. Other patterns like positive/negative, or error/success, are broader or focus on different aspects of testing and don’t inherently address the inclusion vs. exclusion criteria that matter for report validation.