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
收藏
页码:210 / 215
页数:6
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