Measuring effort accurately and consistently across subjects in a programming experiment can be a surprisingly difficult task. In particular, measures based on self-reported data ...
Lorin Hochstein, Victor R. Basili, Marvin V. Zelko...
In visual information retrieval the careful choice of suitable proximity measures is a crucial success factor. The evaluation presented in this paper aims at showing that the dist...
Functional Size Measures are often used for effort estimation. However, these measures do not take into account the amount and complexity of elaboration required, concentrating in...
A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current measures either quantize scanpaths in space (string e...
Halszka Jarodzka, Kenneth Holmqvist, Marcus Nystr&...
Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class label. Su...