Selenium based Testing Systems for Analytical Data Generation of Website User Behavior
Takamasa Tanaka, Hidekazu Niibori, Shiyingxue Li, Shimpei Nomura, Tadayoshi Nakao, Kazuhiko Tsuda · 2020
In recent years, websites have automatically sorted out content suitable for individual users on the website by learning user behavior patterns using AI. Website developers develop a function to generate behavioral data for analysis. The behavior data for analysis records the operation history of all functions such as content expression and button press. However, many consumer websites have a problem of enormous amount of testing due to continuous and frequent development. In this study, we propose a method for efficiently performing browser tests using Selenium by managing the specifications of the behavior data generation function.