Product Automatic Design Process Detection System based on Genetic Algorithm

Automatic product design is an effective strategic demand design method to meet the diversified needs of customers, and it is the clustering result of market demand and competition. With the development of information society and the further popularization of e-commerce, products have become an important part of people's daily life. However, many companies that adopt agile and iterative methods for software development find that manual or manual testing is likely to encounter many timeliness problems due to accelerated code change. Therefore, this paper studies the product automatic design process DS based on genetic algorithm(GA). The theory and development of automatic test technology and the design of functional automatic test subsystem architecture are analyzed; A GA is proposed and applied to the overall architecture design of the product automatic design process detection system(DS), which improves the detection efficiency of the system, realizes the basic functions required by the system, and achieves the expected effect as a whole.