z-logo
open-access-imgOpen Access
Meta-metric Evaluation of E-Commerce-related Metrics
Author(s) -
Antonia Stefani,
Michalis Xenos
Publication year - 2009
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2009.02.061
Subject(s) - computer science , e commerce , metric (unit) , measure (data warehouse) , quality (philosophy) , software metric , software , world wide web , software quality , data science , data mining , software engineering , software development , engineering , programming language , philosophy , epistemology , operations management
User-perceived software quality is subjective, and thus difficult to be measured. Its importance however in user-centric, web-based systems such as e-commerce systems is huge. How can one measure the subjective? Metrics are one of the most powerful weapons in the arsenal for measuring quality. For such a weapon to be put in good use, guidelines for use should be available. In this paper we present a model based on meta-metrics that suggests what metrics should be used in what way and how, when evaluating an e-commerce system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom