DocumentCode
2298035
Title
A Hybrid Model Transformation Approach Based on J2EE Platform
Author
Ma, Kun ; Yang, Bo
Author_Institution
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Volume
3
fYear
2010
fDate
6-7 March 2010
Firstpage
161
Lastpage
164
Abstract
Model transformation plays an important part in current MDD (Model Driven Development). For the development of J2EE applications, this paper presents a hybrid model transformation combined with direct model manipulation, transformation implemented using XSLT, relational algebra and template theory. This approach removes the heterogeneity of model transformation to some extent, and has the advantages of expansibility, cross-platform. Furthermore, this paper develops an extendible prototype system called extMDA based on MDA paradigm, taking models from UML tools and generating deployable J2EE applications by Hybrid Model Transformations. extMDA comes with a host of ready-made plugins of development toolkits like Axis2, Ibatis, Struts2, JSF, Spring and Hibernate. Finally the hybrid MDD process is discussed in detail by an example of Course Election System with good results, which is sub system of Postgraduate Education Management System.
Keywords
Java; Unified Modeling Language; educational courses; relational algebra; software architecture; software tools; Axis2; Hibernate; Ibatis; J2EE platform; JSF; Spring; Struts2; UML tools; XSLT; course election system; extMDA; hybrid model transformation; model driven development; postgraduate education management system; ready-made plugins; relational algebra; template theory; Algebra; Application software; Computer science; Computer science education; Educational technology; Hybrid power systems; Mathematical model; Nominations and elections; Prototypes; Unified modeling language; Model Driven Development; Model Transformation; Model-Driven Architecture; Unified Modeling Language;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6388-6
Electronic_ISBN
978-1-4244-6389-3
Type
conf
DOI
10.1109/ETCS.2010.304
Filename
5459732
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