Using Sysml to describe a new methodology for semiautomatic software generation from inferred behavioral and data models

被引：3

作者：

Gonzalez Alonso, Ignacio ^{[1
]}

Garcia Fuente, M. P. Almudena ^{[1
]}

Brugos, J. A. L. ^{[1
]}

机构：

[1] Univ Oviedo, Dept Comp Sci, Gijon, Spain

来源：

2009 FOURTH INTERNATIONAL CONFERENCE ON SYSTEMS (ICONS) | 2009年

关键词：

Generative programming; MDSD; Software methogology; SYSML; Data Model; Behaviour Model; ENTERPRISE;

D O I：

10.1109/ICONS.2009.50

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：210 / 215

页数：6