DocumentCode
3385617
Title
Study for Classification of Quality Attributes in Argentinean ECommerce Sites
Author
Loranca, M. B Bernábe ; Boone, R. ; Aguirre, R. ; Espinosa, J.E. ; Oliveto, Juan ; Lafuente, Gustavo ; Olsina, Luis
Author_Institution
Area de Ingeniería de Software - Aplicaciones Estadisticas, Mexico
fYear
2006
fDate
27-01 Feb. 2006
Firstpage
47
Lastpage
47
Abstract
This work starts with results obtained in [4] where quality attributes to be considered in operative web projects were analyzed and evaluated, mainly for the "Functionality and Content" feature of sites and applications of electronic commerce (e-commerce). The evaluation process applied to sites from the studies of 2000 and 2004 [2,4] produced a concentrated binary matrix, which has been processed in previous works [3] with multivariate approaches that in turn have provided useful information that allowed the identification of a precise relationship between attributes. Aiming to obtain a group of quality attributes where it is possible to identify inter-relations or common features between the variables that compose each class, the binary table from the previous study has been revisited, and has been processed with statistical cluster analysis. Ultimately, hypothesis tests are proposed to infer the behavior of the population of Argentinean e-commerce sites.
Keywords
Algorithm design and analysis; Classification algorithms; Clustering algorithms; Electronic commerce; Parameter estimation; Performance analysis; Standardization; Statistical analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Communications and Computers, 2006. CONIELECOMP 2006. 16th International Conference on
Print_ISBN
0-7695-2505-9
Type
conf
DOI
10.1109/CONIELECOMP.2006.57
Filename
1604743
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