Title
Selenium based Testing Systems for Analytical Data Generation of Website User Behavior
Abstract
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.
Year
DOI
Venue
2020
10.1109/ICSTW50294.2020.00045
2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Keywords
DocType
ISSN
Data Management,Test Automation,Selenium
Conference
2159-4848
ISBN
Citations 
PageRank 
978-1-7281-1076-9
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Takamasa Tanaka100.34
Hidekazu Niibori200.34
Shiyingxue Li300.34
Shimpei Nomura400.34
Tadayoshi Nakao500.34
Kazuhiko Tsuda610847.18