A systematic approach to comparative analysis of software testing methods

Abstract

The paper presents a systematic approach to the comparative analysis of software testing methods, including manual, automated, and intelligent testing. The relevance of software quality assurance and the complexity of selecting an appropriate testing method depending on project conditions are emphasized. A methodology based on criteria such as cost, defect detection accuracy, and execution time is proposed. The study outlines key stages, including data collection, modeling, and experimental validation using modern tools and machine learning technologies.