Abstract: Agile development improvement system got significance as of late. The Agile reasoning advances incremental and iterative plan and usage. In iteration one or more product feature delivers. Release planning is a principle action in any of Agile approach. Fundamental factors that should be considered are the specialized priority intrinsic in the requirements; the component’s business value seen by project stack holders, team limit and effort required to finish the requirement. To accomplish higher adaptability and to better fulfil real client requirements, there is an expanding propensity to create and convey development in an incremental manner. In embracing this procedure, requirements are conveyed in releases thus a choice must be made on which requirements ought to be conveyed in which release. Three principle contemplations that should be assessed are the technical precedence’s innate in the requirements, the commonly clashing priorities as controlled by the delegate stakeholders and also the harmony amongst required and accessible exertion. The technical precedence limitations identify with circumstances where one prerequisite can’t be actualized until the point when another is finished or where one requirement is executed in an indistinguishable addition from another. Stakeholder inclinations might be founded on the apparent esteem or earnestness of conveyed requirements to the diverse stakeholders included. The technical priorities and individual stakeholder priorities might be in struggle and hard to accommodate. There are different devices accessible in the industry to oversee project yet they are missing to give arranging while at the same time thinking about every one of these variables. Previously Genetic Algorithm (GA) has emerged from ideas, presented from the regular procedure of natural development. GA utilizes selection, cross-over and mutation to develop an answer to the given issue. In this study, a research has been made to formalize the release planning. At that point, an approach is proposed to do release planning utilization using the top-k random Gaussian Genetic algorithm and predict the accuracy of the different Agile method using k-NN classifier.