A systematic literature review about quantitative metrics to evaluate the usability of E-commerce web sites

Ediber Diaz, Juan Jesús Arenas, Arturo Moquillaza, Freddy Paz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

Usability has become an essential aspect for the success of the software products. In the E-Commerce domain, the relevance of this quality attribute is even more significant. For this reason, there are methods that can be used to determine whether a software product meets the appropriate level of usability. In the category of quantitative techniques, the metrics are the most used by the specialists to establish the usability degree of a software system. However, the traditional metrics fail to cover aspects that the new emerging types of applications present. This fact leads to the postulation of new metrics that can measure the degree to which these aspects affect the usability. In this paper, the authors present a systematic review about the metrics that are reported in the literature as an assessment tool for the usability of E-Commerce websites.

Original languageEnglish
Title of host publicationIntelligent Human Systems Integration 2019 - Proceedings of the 2nd International Conference on Intelligent Human Systems Integration IHSI 2019
Subtitle of host publicationIntegrating People and Intelligent Systems, 2019
EditorsTareq Ahram, Waldemar Karwowski
PublisherSpringer Verlag
Pages332-338
Number of pages7
ISBN (Print)9783030110505
DOIs
StatePublished - 2019
Event2nd International Conference on Intelligent Human Systems Integration, IHSI 2019 - San Diego, United States
Duration: 7 Feb 201910 Feb 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume903
ISSN (Print)2194-5357

Conference

Conference2nd International Conference on Intelligent Human Systems Integration, IHSI 2019
Country/TerritoryUnited States
CitySan Diego
Period7/02/1910/02/19

Keywords

  • E-Commerce applications
  • Quality software
  • Software metrics
  • Systematic review
  • Usability evaluation

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