Automate web-application testing using machine learning element type classifier
Автор: Tulforov D.M.
Журнал: Международный журнал гуманитарных и естественных наук @intjournal
Рубрика: Технические науки
Статья в выпуске: 6-2 (45), 2020 года.
Бесплатный доступ
Software testing processes (software) try to test the ability of a software system to match its required attributes and functionality. As software systems become more sophisticated, there is a need for automated software testing methods. Machine learning (MO) methods have proven very useful for this automation process. This article presents a classifier that can find Selenium elements using a semantic label (for example, “ basket”, “ microphone” or “ arrow”) instead of delving into the application hierarchy.
Software testing, software, machine learning, machine learning in testing, classifier
Короткий адрес: https://sciup.org/170190824
IDR: 170190824 | DOI: 10.24411/2500-1000-2020-10699