A Quantitative Approach in Heuristic Evaluation of E-commerce Websites
Xiaosong Li, Ye Liu, Zizhou Fan, Will Li

TL;DR
This paper introduces a quantitative heuristic evaluation method for e-commerce websites based on the 8C model, utilizing web scraping and software tools to improve assessment accuracy.
Contribution
It develops a novel quantitative evaluation instrument for e-commerce websites by mapping 8C model dimensions to website elements and refining the process through iterative experiments.
Findings
Mapping revisions improved evaluation performance
Software effectively assesses e-commerce website quality
Conversion rate correlates with heuristic evaluation scores
Abstract
This paper presents a pilot study on developing an instrument to predict the quality of e-commerce websites. The 8C model was adopted as the reference model of the heuristic evaluation. Each dimension of the 8C was mapped into a set of quantitative website elements, selected websites were scraped to get the quantitative website elements, and the score of each dimension was calculated. A software was developed in PHP for the experiments. In the training process, 10 experiments were conducted and quantitative analyses were regressively conducted between the experiments. The conversion rate was used to verify the heuristic evaluation of an e-commerce website after each experiment. The results showed that the mapping revisions between the experiments improved the performance of the evaluation instrument, therefore the experiment process and the quantitative mapping revision guideline…
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