Improving the Quality of Software Solutions using Genetic Algorithm

This research work presents a general rule of thumb for software testing processes that make use of a genetic set of rules for the technology of computerized check records. Academics have, over the course of many years, advocated a plethora of different ways for creating cheque records, each with its own unique set of problems. This research study provides a range of Genetic Algorithm (GA)-based test approaches that can be used to automate the structurally-oriented test information technology that is based on the internal application structure. These techniques may be used to test a variety of different aspects of the application. In order to choose the Test method that will be the most successful, it is necessary to first examine the genetic rule set's fitness features using the elements that have been found. These methods accept the test populations as their input and proceed to evaluate the test instances for the intended application after doing so. Because of this integration, the overall performance of genetic rule sets in domains with a high convergence rate will be improved, which will aid with the discovery and exploitation of target areas.