Using formative and summative testing to test data models, including functionality and acceptance.
the solution meets all of the requirements of the functional specification
the underlying logic of the model is correct
all the functions and formulae work correctly.
selection and use of appropriate test data, e.g. valid, invalid, erroneous, extreme
selecting suitable users for solution testing
gathering feedback from users, e.g. effectiveness, presentation, performance and purpose
designing and completing test documentation.
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Anonymous Assessment - Learners assess an anonymous piece of work containing deliberate mistakes against given success criteria.