Дослідження моделей використання засобів машинного навчання для генерації тест-кейсів у IT-проєктах

Abstract

This work is focused on research of the application of artificial intelligence for generating test cases in IT projects. With the growing complexity of software development, automated solutions are needed to ensure code quality and efficient testing. One of the jobs where machine learning can help is generating test cases. Two methods for generating test cases, genetic algorithm and Q learning, are examined and compared in this work. The results highlight their potential benefits and limitations of using these algorithms.