The Efficiency of Software Methodologies Used in Artificial Intelligence-Based Biomedical Projects

Safety critical software usage areas are increasing day by day, and biomedical software applications are one of them which is a promising and ever-evolving branch. This study is designed to investigate the efficiency of software methodologies used in artificial intelligence-based biomedical projects. To identify issues and controversies regarding the agile development of safety critical software and key features, this research compares and identifies which methodology, waterfall or agile, is more effective for safety critical systems. A literature has been reviewed with a research design of find, evaluate, extract, and comprehend the findings of the studies. Research findings show that there are central points of interest and recommendations which is extracted from literature and then combined into conceptual model in order to understand the key difficulties of agile software development in safety critical systems. The software development methodologies such as Scrum and Extreme Programming, that are agile strategies adopt an iterative and incremental approach, are deemed appropriate in the development of biomedical software projects.