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Prospects of intelligent automation in software testing process
(2021) Bilovus, A.
This paper provides an overview of using Artificial intelligence (AI) for building test automation frameworks in a way with less human interventions. The analytical framework of the article is built on new modern enterprise prototypes. This article deals with opportunities as well as ideas to drive process of incorporation of AI in software testing process. The article provides analysis of areas to be augmented by use of Machine learning methods in testing tools (frameworks) from integrated reports as well as from own experience. This article refers to improvement of software quality validation, discovering potentiality and challenges of AI in terms of testing activities. Schema of integrated process with use of AI technology and traditional testing techniques is presented. By engaging with presented ideas, the article contributes to creation of open-source automated tool with power of AI. The main contribution of this study is to identify hands-on perspectives of AI to test software.