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A web-based system is being developed to support the administration of tennis tournaments.

A web-based system is being developed to support the administration of tennis tournaments.

The system provides advice on how much money to offer each player as their individual attendance fee. The amount depends on a combination of the following factors:

    Overall attendance fund (divided into five numeric ranges)

    Player's current world ranking (divided into ten numeric ranges)

    Whether it is a local tournament for the player (YES or NO)

    Their relationship with the tournament sponsors (clothing, equipment, or endorsement)

    Their previous attendance history at this event (finalist, played, withdrew before event, or withdrew during event)

It has been noted that the attendance fee calculation does not take account of 'last minute' invitations that are made to replace a player who withdraws close to the tournament start date. In this case, enhanced attendance fees are offered depending on whether the invitation is made within a week, a fortnight, or a month of the tournament start date.

Which of the following specification-based techniques would be the BEST choice for testing the 'last minute' scenario where players are replaced close to the tournament start, and what type of defect is being targeted by the testing?

SELECT ONE OPTION:

A.

Decision Table testing technique; Fee calculation defects

B.

Use Case testing technique; Fee specification defects

C.

Equivalence Partitioning technique; Date formatting defects

D.

Boundary Value Analysis technique; Date comparison defects

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