Using Sysml to Describe a New Methodology for Semiautomatic Software Generation from Inferred Behavioral and Data Models

Abstract

This article describes a new methodology designed for semiautomatic generation of software applications using the new standard of OMG consortium: SYSML. The methodology has behavior and data model inference steps. Both data and behavior are inferred, the first by XSD-Schema inference and the latter by Business Process Mining inferences. The paper describes how by using SYSML a better description of the methodology is given, a description that allows making a better design than using UML standard tools.