Taxonomy of Machine Learning Techniques in Test Case Generation

machine learning empowers computer systems to automatically learn and improve their performance without being explicitly programmed for each specific task. It has revolutionized many industries and continues to drive advancements in artificial intelligence, enabling computers to perform complex tasks with greater efficiency and accuracy Machine learning algorithms use training data to learn patterns and make predictions or decisions about new data. It involves a range of techniques such as supervised learning, unsupervised learning, reinforcement learning, deep learning, and others. Machine learning (ML) can be applied to test case generation in several ways: Like Prioritization, Test case reduction, Test case minimization etc. Machine learning techniques can be beneficial in test case generation in several ways. This article reviews the research work on application of machine learning algorithms in test case generation.