Automate web-application testing using machine learning element type classifier

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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

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