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Evaluation of Part II projects A substantial proportion of the marks fora Part II project are awarded for proper evaluation.
Inmost projects, this tends to be summative – formative evaluation work could be reported in the preparation or even implementation sections of the dissertation.
Non-HCI projects In
all projects, whether or not they include a user interface component, empirical measures are considered to offer stronger evidence
for the quality of your work, and a higher degree of scientific rigour. Empirical evaluation involves taking measurements (perhaps of compile times, or network traffic estimates. Most empirical
measurements are not exact, so it will be necessary to make a number of measurements, and report the degree of variance as well as the mean. Empirical results are particularly convincing
if they offer a comparison – either comparing performance of your system to an existing one, or comparing earlier and later versions of your work. Where
a comparison is being made, and there is some variance in measurements, it is necessary to give some statistical evidence to support the claim that the observed difference was not the result of random variation.
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