期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：5
页码：16369-16375
DOI：10.18535/ijecs/v5i5.10
出版社：IJECS
摘要：a new method to identify navigation- related Web usability problems based on correlating Actual and Predictableusage patterns. The actual usage patterns can be extracted from Web server logs routinely recorded for operational websites byfirst processing the log data to identify users, user sessions, and user task-oriented transactions, and then applying an usage miningalgorithm to discover patterns among actual usage paths. The anticipated usage, including information about both the path andtime required for user-oriented tasks, is captured by our ideal user interactive path models constructed by cognitive ex- perts based ontheir cognition of user behavior. The comparison is performed via the mechanism of test oracle for checking results and identifyinguser navigation difficulties. The deviation data produced from this comparison can help us discover usability issues and suggestcorrective actions to improve usability. A software tool was developed to automate a significant part of the activities involved.With an experiment on a small service-oriented website, we identified usability problems, which were cross-validated by do- mainexperts, and quantified usability improvement by the higher task success rate and lower time and effort for given tasks aftersuggested corrections were implemented.
关键词：Cognitive user model; sessionization; software tool; test oracle; usability; usage pattern; Web server log
