Year: 2025
Type: article
Study design: Systematic Review
Abstract: Conventional methods of quality assurance have been significantly altered as a result of the incorporation of capabilities related to artificial intelligence (AI) into software testing.With the help of predictive models, artificial intelligencedriven testing attempts to improve the identification of defects, simplify testing methods, and reduce the amount of manual work that is required thanks to the utilization of these models.The purpose of this systematic review is to assemble the existing methodology, instruments, and empirical data associated with the practical applications of artificial intelligence in software testing.In addition to this, the study highlights the significance of these programs in providing a reduction in the number of bugs and describes potential future research subjects.
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4410127511