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SIGSOFT
2005
ACM
14 years 9 months ago
Combining self-reported and automatic data to improve programming effort measurement
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...
MIR
2003
ACM
146views Multimedia» more  MIR 2003»
14 years 2 months ago
Distance measures for MPEG-7-based retrieval
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...
Horst Eidenberger
ESEM
2010
ACM
13 years 7 months ago
Introducing the evaluation of complexity in functional size measurement: a UML-based approach
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...
Luigi Lavazza, Gabriela Robiolo
ETRA
2010
ACM
160views Biometrics» more  ETRA 2010»
13 years 7 months ago
A vector-based, multidimensional scanpath similarity measure
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&...
SAC
2010
ACM
13 years 3 months ago
A study on interestingness measures for associative classifiers
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...
Mojdeh Jalali Heravi, Osmar R. Zaïane