Systematic Mapping Study

Systematic mapping studies provide comprehensive overviews of existing research in a specific area by systematically identifying, analyzing, and classifying relevant publications. Current research focuses on diverse applications, including machine learning operations (MLOps), requirements engineering for AI systems, and the application of machine learning to various domains like blockchain data analysis and remaining useful life estimation of batteries. These studies reveal prevalent challenges, highlight successful model architectures (e.g., LSTMs, neural networks), and identify gaps in the literature, guiding future research and informing the development of practical applications.