KWARESMI – Knowledge-based Web Automated Evaluation Tool with Reconfigurable Guidelines Optimization

نویسندگان

  • Abdo Beirekdar
  • Jean Vanderdonckt
  • Monique Noirhomme-Fraiture
چکیده

KWARESMI (Knowledge-based Web Automated and Reconfigurable Evaluation with guidelineS optiMIzation) tool is aimed for expressing, structuring, and organizing web usability guidelines towards automated evaluation. Traditional tools transform natural statements of usability guidelines into lines of code in a tool that parses the HTML code of a web page and performs guidelines review. These tools are inflexible by nature: impossible to introduce a new guideline, to modify an existing one, to select guidelines on demand before evaluation. Furthermore, there is no optimization of how guidelines can be evaluated in an efficient way: all guidelines are tested on all elements, without factoring out common parts. KWARESMI attempts to address these shortcomings by allowing evaluators to express guidelines in a higher level than simply HTML code and using them for automated usability evaluation on demand.

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تاریخ انتشار 2003