Conceptual Framework for Risk Mitigation and Monitoring in Software Organizations Based on Artificial Immune System

Mitigating risks involves taking steps to lessen an organization's exposure to possible hazards and the chance that those risks or those of others like them will recur. Researchers created the artificial immune system's theory and methods for successful, risk-free software development based on the ideas and theories of the biological immune system. The authors discovered that there is a deficiency in effective risk mitigation monitoring in software project development when compared to the number of recommended alternatives. The results of this study, which looked at immune system activity and existing risk mitigation approaches, are crucial in assisting firms with enhancing their risk mitigation processes. The limitations of research, as well as potential future possibilities in these areas, are highlighted. In this study, we examined the process of the biological immune system artificially built to propose an efficient risk mitigation monitoring system. The relationship between BIS and risk management appears to be symbiotic. The primary aim is to incorporate learning and adaptation strategies to surmount personal constraints and attain mutually reinforcing outcomes by combining various techniques. Using Artificial Immune Systems (AIS), we present a novel Human Risk Factor Mitigation Monitoring Framework (HRFMMF) in this study. This strategy works well and may be modified to fit new data. Moreover, this study aims to stimulate the application of AI in Software Engineering (SE) activities that have not yet been considered. The HRFMM approach offers insights into risk mitigation monitoring related to human factors and addresses the complexity of human factors.