Abstract
Purpose: The aim of the article is to provide an in-depth discussion of traditional and modern methods of software diagnostics and testing. The basic ways of implementing these processes will be discussed. We will also discuss the concept of automation of the testing process and its impact on modern software development with usage of Artificial Intelligence. Design/methodology/approach: The analysis of the article's topic is based on the analysis of sources discussing methods of software diagnostics and testing. Findings: The importance of analytical thinking and predictive skills. Originality/value: Presentation of various factors influencing the quality of software production with a particular focus on software test automation. Keywords: software engineering, testing, diagnostics, automation. Category of the paper: General review.
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