Data processing system which executes composite objects by combining

Abstract

A data processing system for executing a process. Classes and composite classes are formed by combining methods. Instances are formed and correspond to the classes and composite classes. The real world is analyzed as an object model which includes a static world, a dynamic world and a cause and effect relationship. The object model has a corresponding extension and a corresponding connotation. The connotation is in an information concealed region, and identification information identifies the extension and connotation. A system mechanism is created with respect to the static world using the classes and composite classes, where the system mechanism is a static model for the static world. The instances are used to form a session corresponding to motion with respect to the dynamic world, where the session is a dynamic model for the dynamic world. The cause and effect relationship of the object model is generated from the dynamic model into the static model. A functional model is formed in the connotation, and includes composite objects formed from the methods, the classes, the composite classes and the session. A minimum number of methods, classes, and composite classes required to form the composite objects of the functional model are stored in the connotation. The identification information is used to assign object identifications to composite objects of the functional model, to identify composite objects of the functional model. A process is then executed by using the object identifications to identify composite objects of the function model.