Title :
Web site complexity metrics for measuring navigability
Author :
Zhang, Yanlong ; Zhu, Hong ; Greenwood, Sue
Abstract :
In years, navigability has become the pivot of Web site designs. Existing works fall into two categories. The first is to evaluate and assess a Web site´s navigability against a set of criteria or check list. The second is to analyse usage data of the Web site, such as the server log files. This work investigates a metric approach to Web site navigability measurement. In comparison with existing assessment and analysis methods, navigability metrics have the advantages of objectiveness and the possibility of using automated tools to evaluate large-scale Web sites. This work proposes a number of metrics for Web site navigability measurement based on measuring Web site structural complexity. We validate these metrics against Weyuker´s software complexity axioms, and report the results of empirical studies of the metrics.
Keywords :
Internet; Web design; information retrieval; software metrics; Web site complexity metrics; Web site designs; Web site navigability measurement; Web site structural complexity; Weyuker software complexity axioms; automated tools; large-scale Web sites; navigability metrics; usage data analysis; Data analysis; File servers; Internet; Large-scale systems; Navigation; Software systems; Usability; Virtual reality; Web page design; Web sites;
Conference_Titel :
Quality Software, 2004. QSIC 2004. Proceedings. Fourth International Conference on
Print_ISBN :
0-7695-2207-6
DOI :
10.1109/QSIC.2004.1357958