Improve Software System Visualization using Genetic Algorithm

Abstract

Well visual effects for system facilitate user to overall master the system relations. To enhance the current visual effects, this work proposes a concrete mapping and software metrics to reveal the relations’ characteristics such as size, association and coupling. To adapt user’s dynamic viewing changes, the genetic allocation algorithm with the allocation criteria are developed to place the concretes by viewing constraints. In addition, JOGL is adapted to realize the animation functions. Finally, the cases study show that the distinguishability of system is improved.