• 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