Experimental Research on Software Quality Assurance using Artificial Intelligence

Software systems are getting bigger and bigger as the foundation of society. and complexity and connectivity, and in times of extreme uncertainty Innovative development, continuous change, expansion and environmental adaptation Under such circumstances, it is essential to build quality, verify and Evaluation/correction/management activities are exploratory and adaptive in nature. where machine learning with generalization ability Data-driven optimization for new objects and situations genetic algorithm genetic Algorithm; From request to maintenance. The use of AI for quality activities is being researched and practiced in this research paper types of AI mainly machine learning and As an AI activity related to software quality in general overview of requirements followed by design and implementation of specific requirements, Testing debugging Other quality control and maintenance procedures Separately, we'll explain AI use efforts related to quality in a broader way.