Survey on test generation using machine learning technique

Software testing and maintenance requires a considerable amount of time in the software lifecycle in order to have a quality product. Recent usage of machine learning algorithms in testing has rapidly increased and different testing type uses different machine learning algorithm depending on the test suits, which helps in automating the test cases in order to decrease the manual effort, which in turn helps in reduction of cost and time spent on the project by the software engineer. An overview of advantages are discussed for various software testing and machine learning techniques is provided along with some of the research on various combination used in order to generate test cases and test suites which are more optimized and performance enhanced.